[HTML][HTML] Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review
Dynamic scheduling plays a pivotal role in smart manufacturing by enabling real-time
adjustments to production schedules, thereby enhancing system resilience and promoting …
adjustments to production schedules, thereby enhancing system resilience and promoting …
Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning
Y Gui, Z Zhang, D Tang, H Zhu, Y Zhang - Advanced Engineering …, 2024 - Elsevier
Personalized product demands have made the production mode of many varieties and small
batches mainstream. Self-organizing manufacturing systems represented by multi-agent …
batches mainstream. Self-organizing manufacturing systems represented by multi-agent …
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals
Distributed manufacturing can reduce the production cost through the cooperation among
factories, and it has been an important trend in the industrial field. For the enterprises with …
factories, and it has been an important trend in the industrial field. For the enterprises with …
A review of reinforcement learning based hyper-heuristics
C Li, X Wei, J Wang, S Wang, S Zhang - PeerJ Computer Science, 2024 - peerj.com
The reinforcement learning based hyper-heuristics (RL-HH) is a popular trend in the field of
optimization. RL-HH combines the global search ability of hyper-heuristics (HH) with the …
optimization. RL-HH combines the global search ability of hyper-heuristics (HH) with the …
[HTML][HTML] A logic Petri net model for dynamic multi-agent game decision-making
This study proposes a logical Petri net model to leverage the modeling advantages of Petri
nets in handling batch processing and uncertainty in value passing and to integrate relevant …
nets in handling batch processing and uncertainty in value passing and to integrate relevant …
A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem
Y Di, L Deng, L Zhang - Swarm and Evolutionary Computation, 2024 - Elsevier
As the increasing level of implementation of artificial intelligence technology in solving
complex engineering optimization problems, various learning mechanisms, including deep …
complex engineering optimization problems, various learning mechanisms, including deep …
[HTML][HTML] Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing …
Abstract Industry 4.0, smart manufacturing and smart products have recently attracted
substantial attention and are becoming increasingly prevalent in manufacturing systems. As …
substantial attention and are becoming increasingly prevalent in manufacturing systems. As …
Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem
As the production environment evolves, distributed manufacturing exhibits heterogeneous
characteristics, including diverse machines, workers, and production processes. This paper …
characteristics, including diverse machines, workers, and production processes. This paper …
Dynamic job-shop scheduling using graph reinforcement learning with auxiliary strategy
Z Liu, H Mao, G Sa, H Liu, J Tan - Journal of Manufacturing Systems, 2024 - Elsevier
The unpredictable variety of dynamic events in manufacturing systems poses a great
challenge for tackling the job-shop scheduling problem (JSP), while most prior arts fail to …
challenge for tackling the job-shop scheduling problem (JSP), while most prior arts fail to …
Learning to schedule dynamic distributed reconfigurable workshops using expected deep Q-network
S Yang, J Wang, Z Xu - Advanced Engineering Informatics, 2024 - Elsevier
Distributed manufacturing has become common in the globalized production environment.
Facing the tendency of mass customization, distributed workshops are required to have the …
Facing the tendency of mass customization, distributed workshops are required to have the …