A multi-agent reinforcement learning based scheduling strategy for flexible job shops under machine breakdowns
In a highly disrupted workshop environment, machine failures may occur frequently,
requiring real-time schedule repair strategies. This paper proposes a type-aware multi-agent …
requiring real-time schedule repair strategies. This paper proposes a type-aware multi-agent …
Fusion q-learning algorithm for open shop scheduling problem with AGVs
X Wen, H Zhang, H Li, H Wang, W Ming, Y Zhang… - Mathematics, 2024 - mdpi.com
In accordance with the actual production circumstances of enterprises, a scheduling
problem model is designed for open-shop environments, considering AGV transport time. A …
problem model is designed for open-shop environments, considering AGV transport time. A …
Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning
Reinforcement learning-based methods have addressed production scheduling problems
with flexible processing constraints. However, delayed rewards arise due to the dynamic …
with flexible processing constraints. However, delayed rewards arise due to the dynamic …
End-to-end Multi-Target Flexible Job Shop Scheduling With Deep Reinforcement Learning
Modeling and solving the Flexible Job Shop Scheduling Problem (FJSP) is critical for
modern manufacturing. However, existing works primarily focus on the time-related …
modern manufacturing. However, existing works primarily focus on the time-related …
[HTML][HTML] An Optimization Method for Green Permutation Flow Shop Scheduling Based on Deep Reinforcement Learning and MOEA/D
Y Lu, Y Yuan, A Sitahong, Y Chao, Y Wang - Machines, 2024 - mdpi.com
This paper addresses the green permutation flow shop scheduling problem (GPFSP) with
energy consumption consideration, aiming to minimize the maximum completion time and …
energy consumption consideration, aiming to minimize the maximum completion time and …
MILP Models for Flexible Job Shop Scheduling with Spatial Constraints and Sequence Flexibility *
Within the evolving landscape of Industry 4.0, the significance of flexible job shop
scheduling problems is increasing. This study addresses a novel category of NP-hard …
scheduling problems is increasing. This study addresses a novel category of NP-hard …