Scheduling of steelmaking-continuous casting process by integrating deep neural networks with mixed integer programming
| Year of publication: |
2025
|
|---|---|
| Authors: | Shin, Woo-Jin ; Lee, Sang-Wook ; Lee, Jun-ho ; Song, Min-Ho ; Kim, Hyun-Jung |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 63.2025, 11, p. 4180-4201
|
| Subject: | artificial intelligence | automation | innovation andinfrastructure | mixed integer programming | Scheduling | steelmaking process | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Ganzzahlige Optimierung | Integer programming | Scheduling-Verfahren | Scheduling problem | Prozessmanagement | Business process management | Automatisierung | Automation | Theorie | Theory |
-
Belieres, Simon, (2023)
-
Braune, Roland, (2017)
-
Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs
Qu, Shiyuan, (2026)
- More ...
-
Reinforcement learning for robotic flow shop scheduling with processing time variations
Lee, Jun-ho, (2022)
-
Single-machine scheduling with energy generation and storage systems
Kim, Hyun-Jung, (2022)
-
Scheduling dual-armed cluster tools with cleaning processes
Kim, Heejung, (2013)
- More ...