A Novel DQN‐Based Hybrid Algorithm for Integrated Scheduling and Machine Maintenance in Dynamic Flexible Job Shops DOI Creative Commons

Nanxing Chen,

Yong Chen, Wenchao Yi

et al.

IET Collaborative Intelligent Manufacturing, Journal Year: 2025, Volume and Issue: 7(1)

Published: Jan. 1, 2025

ABSTRACT This paper focuses on the dynamic flexible job shop scheduling problem with constrained maintenance resources (DFJSP‐CMR), a pressing challenge in modern manufacturing systems. As traditional rigid models fall short meeting demands of today's production environments, there is growing need for intelligent approaches that can seamlessly integrate and planning under resource limitations. To tackle this challenge, we propose novel hybrid algorithm aimed at minimising makespan while addressing machine deterioration, unexpected failures resources. The core our approach deep Q‐network insertion (DQN‐MI) specifically designed efficient scheduling. features 5×3 action space, constructed as compound rules, along reward structure balances utilisation efficiency effective operations. Extensive computational experiments conducted diverse instances demonstrate DQN‐MI delivers superior performance, further validating effectiveness versatility proposed method complex challenges maintaining stability reliability research contributes to advancement by presenting robust practical solution integrated management planning.

Language: Английский

Maintenance capacity planning, spare parts management, and maintenance scheduling: An overview DOI
Duarte Dinis

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
No-wait lines optimisation: a procedure based on scheduling enhanced by digital twin DOI Creative Commons
Mario Caterino, Roberto Macchiaroli, Stefano de Miranda

et al.

Flexible Services and Manufacturing Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract The no-wait scheduling problem involves planning the sequence of tasks in a job without any delay. This constraint is crucial industries where production interruptions may create significant inefficiencies or quality issues. paper addresses this by proposing new methodology to design and verify work-cycle related layout, focusing on both job-shop flow-shop environments finally proving its efficiency thanks use digital twin validate process. goal optimisation makespan minimisation it achieved through application timetabling heuristic method. iterative nature proposed model allows for continuous improvement scheduling, queue reduction verified twin. procedure tested real galvanic line primary aerospace international company; results show that guarantees respect times, which concur increase demand satisfaction company.

Language: Английский

Citations

0
A Novel DQN‐Based Hybrid Algorithm for Integrated Scheduling and Machine Maintenance in Dynamic Flexible Job Shops DOI Creative Commons

Nanxing Chen,

Yong Chen, Wenchao Yi

et al.

IET Collaborative Intelligent Manufacturing, Journal Year: 2025, Volume and Issue: 7(1)

Published: Jan. 1, 2025

ABSTRACT This paper focuses on the dynamic flexible job shop scheduling problem with constrained maintenance resources (DFJSP‐CMR), a pressing challenge in modern manufacturing systems. As traditional rigid models fall short meeting demands of today's production environments, there is growing need for intelligent approaches that can seamlessly integrate and planning under resource limitations. To tackle this challenge, we propose novel hybrid algorithm aimed at minimising makespan while addressing machine deterioration, unexpected failures resources. The core our approach deep Q‐network insertion (DQN‐MI) specifically designed efficient scheduling. features 5×3 action space, constructed as compound rules, along reward structure balances utilisation efficiency effective operations. Extensive computational experiments conducted diverse instances demonstrate DQN‐MI delivers superior performance, further validating effectiveness versatility proposed method complex challenges maintaining stability reliability research contributes to advancement by presenting robust practical solution integrated management planning.

Language: Английский

Citations

0