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Jing Huang
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Deep reinforcement learning based preventive maintenance policy for serial production lines
J Huang, Q Chang, J Arinez
Expert Systems with Applications 160, 113701, 2020
1412020
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning
T Yu, J Huang, Q Chang
Journal of manufacturing systems 60, 487-499, 2021
662021
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
J Su, J Huang, S Adams, Q Chang, PA Beling
Expert Systems with Applications 192, 116323, 2022
552022
Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning
T Yu, J Huang, Q Chang
IEEE Access 8, 163868-163877, 2020
462020
A real-time maintenance policy for multi-stage manufacturing systems considering imperfect maintenance effects
J Huang, Q Chang, J Zou, J Arinez
IEEE Access 6, 62174-62183, 2018
342018
A maintenance and energy saving joint control scheme for sustainable manufacturing systems
J Huang, Q Chang, J Arinez, G Xiao
Procedia CIRP 80, 263-268, 2019
272019
Product completion time prediction using a hybrid approach combining deep learning and system model
J Huang, Q Chang, J Arinez
Journal of Manufacturing Systems 57, 311-322, 2020
232020
Machine preventive replacement policy for serial production lines based on reinforcement learning
J Huang, Q Chang, N Chakraborty
2019 IEEE 15th International Conference on Automation Science and …, 2019
172019
First time quality diagnostics and improvement through data analysis: A study of a crankshaft line
X Ou, J Huang, Q Chang, S Hucker, JG Lovasz
Procedia Manufacturing 49, 2-8, 2020
162020
Graph neural network and multi-agent reinforcement learning for machine-process-system integrated control to optimize production yield
J Huang, J Su, Q Chang
Journal of Manufacturing Systems 64, 81-93, 2022
142022
Dynamic robot assignment for flexible serial production systems
K Bhatta, J Huang, Q Chang
IEEE Robotics and Automation Letters 7 (3), 7303-7310, 2022
112022
Integrated process-system modelling and control through graph neural network and reinforcement learning
J Huang, J Zhang, Q Chang, RX Gao
CIRP Annals 70 (1), 377-380, 2021
112021
Data-enabled permanent production loss analysis for serial production systems with variable cycle time machines
C Li, J Huang, Q Chang
IEEE Robotics and Automation Letters 6 (4), 6418-6425, 2021
102021
Effect of formation pattern on schooling energetics in fish-like swimming
Y Pan, P Han, J Huang, H Dong
Fluids Engineering Division Summer Meeting 83730, V003T05A046, 2020
92020
Modeling and dynamic assignment of the adaptive buffer spaces in serial production lines
J Huang, Q Chang, J Arinez
Journal of Manufacturing Science and Engineering 143 (3), 031005, 2021
62021
Distributed production scheduling for multi-product flexible production lines
J Huang, Q Chang, J Arinez
2020 IEEE 16th International Conference on Automation Science and …, 2020
42020
Modeling and Analysis of Multi-Product Manufacturing Systems With Two Machines and One Buffer
J Huang, Q Chang, J Arinez
International Manufacturing Science and Engineering Conference 58745 …, 2019
32019
Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality
J Huang, HT Fan, G Xiao, Q Chang
arXiv preprint arXiv:2206.11204, 2022
22022
Real-time Control of Maintenance on Deteriorating Manufacturing System
J Huang, Q Chang, J Zou, J Arinez, G Xiao
2018 IEEE 14th International Conference on Automation Science and …, 2018
22018
Predicting the Distribution of Product Completion Time in Multi-Product Manufacturing Systems
J Huang, Q Chang, J Arinez
2021 IEEE 17th International Conference on Automation Science and …, 2021
12021
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