Survey of integrated flexible job shop scheduling problems
The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …
many different mathematical models and solution approaches have been developed. With …
Predictive analytics in the maintenance and reliability of satellite telecommunications infrastructure: a conceptual review of strategies and technological advancements
Predictive analytics is transforming the maintenance and reliability of satellite
telecommunications infrastructure, offering proactive solutions to prevent downtime and …
telecommunications infrastructure, offering proactive solutions to prevent downtime and …
A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based …
Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …
[HTML][HTML] Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines
In the context of Industry 4.0, companies understand the advantages of performing
Predictive Maintenance (PdM). However, when moving towards PdM, several …
Predictive Maintenance (PdM). However, when moving towards PdM, several …
An iterated greedy algorithm with reinforcement learning for distributed hybrid flowshop problems with job merging
The distributed hybrid flowshop scheduling problems (DHFSP) widely exist in various
industrial production processes, and thus have received widespread attention. However, the …
industrial production processes, and thus have received widespread attention. However, the …
An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules
Reconfigurable manufacturing system is widely regarded as a major drive towards the next-
generation manufacturing, where one of the most common scenarios is that advanced …
generation manufacturing, where one of the most common scenarios is that advanced …
A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based …
Production scheduling and maintenance planning are two interactive factors in modern
manufacturing system. However, at present, almost all studies ignore the impact of …
manufacturing system. However, at present, almost all studies ignore the impact of …
Condition-based optimization of non-identical inspection intervals for a k-out-of-n load sharing system with hybrid mixed redundancy strategy
This paper aims to minimize the expected daily inspection cost of a k-out-of-n load-sharing
system with identical components. We consider a hybrid mixed-redundancy strategy for the …
system with identical components. We consider a hybrid mixed-redundancy strategy for the …
Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions
X Chen, J Li, Y Xu - Swarm and Evolutionary Computation, 2023 - Elsevier
Confronted with complex industrial environments, dynamic disruptions like new job arrival
and machine breakdown bring significant challenges to the robustness and stability of the …
and machine breakdown bring significant challenges to the robustness and stability of the …
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 …