Dynamic scheduling for flexible job-shop with reconfigurable manufacturing cells considering dynamic job arrivals based on deep reinforcement learning
| Year of publication: |
2025
|
|---|---|
| Authors: | Zheng, Liang ; Chen, Xiaodi ; Zhuang, Cunbo ; Liu, Jianhua ; Zhang, Yongyang ; Lai, Lijuan |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 63.2025, 20, p. 7427-7459
|
| Subject: | deep reinforcement learning | Dynamic flexible job-shop scheduling | dynamic job arrival | Noisy Dueling Double DQN | reconfigurable manufacturing cells | Scheduling-Verfahren | Scheduling problem | Flexibles Fertigungssystem | Flexible manufacturing system | Algorithmus | Algorithm | Produktionssteuerung | Production control | Heuristik | Heuristics | Fertigungsinsel | Cellular manufacturing | Evolutionärer Algorithmus | Evolutionary algorithm | Produktionssystem | Manufacturing system |
-
Li, Jiahang, (2025)
-
Soares, Leonardo C. R., (2024)
-
Flexible robotic manufacturing cell scheduling problem with multiple robots
Yang, Yujun, (2016)
- More ...
-
Localization, knowledge spillover, and R&D investment : evidence of Chinese cities
Qiao, Yu, (2019)
-
The synergy theory on economic growth : comparative study between China and developed countries
Liu, Jianhua, (2018)
-
The Synergy Theory on Economic Growth: Comparative Study Between China and Developed Countries
Liu, Jianhua, (2018)
- More ...