| Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturing F Qiao, J Liu, Y Ma International Journal of Production Research 59 (23), 7139-7159, 2021 | 78 | 2021 |
| Scenario-based multi-objective robust scheduling for a semiconductor production line J Liu, F Qiao, W Kong International Journal of Production Research 57 (21), 6807-6826, 2019 | 19 | 2019 |
| Dynamic scheduling for semiconductor manufacturing systems with uncertainties using convolutional neural networks and reinforcement learning J Liu, F Qiao, M Zou, J Zinn, Y Ma, B Vogel-Heuser Complex & Intelligent Systems 8 (6), 4641-4662, 2022 | 18 | 2022 |
| A data-driven scheduling knowledge management method for smart shop floor Y Ma, S Li, F Qiao, X Lu, J Liu International Journal of Computer Integrated Manufacturing 35 (7), 780-793, 2022 | 17 | 2022 |
| Knowledge graph modeling method for product manufacturing process based on human–cyber–physical fusion C Ding, F Qiao, J Liu, D Wang Advanced Engineering Informatics 58, 102183, 2023 | 15 | 2023 |
| Human–machine collaborative decision-making method based on confidence for smart workshop dynamic scheduling D Wang, F Qiao, L Guan, J Liu, C Ding IEEE Robotics and Automation Letters 7 (3), 7850-7857, 2022 | 12 | 2022 |
| Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing time J Liu, F Qiao, Y Ma, W Kong Frontiers of Engineering Management 5 (4), 507-514, 2018 | 8 | 2018 |
| Human-machine cooperation based adaptive scheduling for a smart shop floor D Wang, F Qiao, J Wang, J Liu, W Kong 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 7 | 2020 |
| Adaptive scheduling for smart shop floor based on deep Q-network S Li, Y Ma, XY Lu, F Qiao, J Liu 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 7 | 2020 |
| Double deep Q-network-based self-adaptive scheduling approach for smart shop floor Y Ma, J Cai, S Li, J Liu, J Xing, F Qiao Neural Computing and Applications 35 (30), 22281-22296, 2023 | 3 | 2023 |
