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Keywords: graph neural networks
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Journal Articles

Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning

Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park, Kincho H. Law
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2024, 146(1): 011009.
Paper No: MANU-23-1290
https://doi.org/10.1115/1.4063652
Published Online: October 19, 2023
... the training of an adaptive scheduler utilizing graph neural networks and reinforcement learning. Furthermore, a simulator is developed to simulate interruption, swapping, and blocking in the ISBJSSP setting. By employing a set of reported benchmark instances, we conduct a detailed experimental study...
View Article titled, Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using <span class="search-highlight">Graph</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> and Reinforcement Learning
Open the PDF for Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using <span class="search-highlight">Graph</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> and Reinforcement Learning in another window
Topics: Job-shop scheduling, Machine shops, Machinery, Reinforcement learning, Artificial neural networks, Probability
Includes: Supplementary data