Reconfigurable Manufacturing Systems
Configuration Selection and Scheduling
Hybrid Flow Shop Scheduling
Controllable Processing Time
Semester: 2024-03-01
Lab Seminars:
1.
Modelling and solving approaches for scheduling problems in reconfigurable manufacturing systems
2025.02.24
2.
An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
2025.02.10
3.
A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems
2025.01.13
4.
Bi-objective Optimization of Integrating Configuration Generation and Scheduling for Reconfigurable Flow Lines Using NSGA-II
2024.08.29
5.
A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry
2024.08.12
6.
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines
2024.07.22
7.
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
2024.07.08
8.
Heuristic algorithms for re-entrant hybrid flow shop scheduling with unrelated parallel machines
