| Disassembly sequence planning: Recent developments and future trends Z Zhou, J Liu, DT Pham, W Xu, FJ Ramirez, C Ji, Q Liu Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2019 | 113 | 2019 |
| A reconfigurable modeling approach for digital twin-based manufacturing system C Zhang, W Xu, J Liu, Z Liu, Z Zhou, DT Pham Procedia Cirp 83, 118-125, 2019 | 110 | 2019 |
| Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing W Xu, Q Tang, J Liu, Z Liu, Z Zhou, DT Pham Robotics and Computer-Integrated Manufacturing 62, 101860, 2020 | 107 | 2020 |
| An improved multi-objective discrete bees algorithm for robotic disassembly line balancing problem in remanufacturing J Liu, Z Zhou, DT Pham, W Xu, J Yan, A Liu, C Ji, Q Liu The International Journal of Advanced Manufacturing Technology 97, 3937-3962, 2018 | 101 | 2018 |
| Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing J Liu, Z Zhou, DT Pham, W Xu, C Ji, Q Liu International Journal of Production Research 56 (9), 3134-3151, 2018 | 99 | 2018 |
| Collaborative optimization of robotic disassembly sequence planning and robotic disassembly line balancing problem using improved discrete Bees algorithm in remanufacturing✰ J Liu, Z Zhou, DT Pham, W Xu, C Ji, Q Liu Robotics and Computer-Integrated Manufacturing 61, 101829, 2020 | 98 | 2020 |
| Sequence planning considering human fatigue for human-robot collaboration in disassembly K Li, Q Liu, W Xu, J Liu, Z Zhou, H Feng Procedia CIRP 83, 95-104, 2019 | 77 | 2019 |
| Digital twin-enabled reconfigurable modeling for smart manufacturing systems C Zhang, W Xu, J Liu, Z Liu, Z Zhou, DT Pham International Journal of Computer Integrated Manufacturing 34 (7-8), 709-733, 2021 | 72 | 2021 |
| Human-robot collaborative disassembly line balancing considering the safe strategy in remanufacturing W Xu, J Cui, B Liu, J Liu, B Yao, Z Zhou Journal of Cleaner Production 324, 129158, 2021 | 47 | 2021 |
| Service platform for robotic disassembly planning in remanufacturing J Liu, Z Zhou, DT Pham, W Xu, J Cui, C Yang Journal of Manufacturing Systems 57, 338-356, 2020 | 28 | 2020 |
| Industrial cloud robotics towards sustainable manufacturing J Liu, W Xu, J Zhang, Z Zhou, DT Pham International Manufacturing Science and Engineering Conference 49903 …, 2016 | 28 | 2016 |
| Interlocking problems in disassembly sequence planning Y Wang, F Lan, J Liu, J Huang, S Su, C Ji, DT Pham, W Xu, Q Liu, Z Zhou International Journal of Production Research 59 (15), 4723-4735, 2021 | 19 | 2021 |
| A closed-loop brain-computer interface with augmented reality feedback for industrial human-robot collaboration Z Ji, Q Liu, W Xu, B Yao, J Liu, Z Zhou The International Journal of Advanced Manufacturing Technology, 1-16, 2021 | 16 | 2021 |
| Human-robot collaboration for disassembly line balancing problem in remanufacturing B Liu, W Xu, J Liu, B Yao, Z Zhou, DT Pham International Manufacturing Science and Engineering Conference 58745 …, 2019 | 16 | 2019 |
| A practical energy modeling method for industrial robots in manufacturing W Xu, H Liu, J Liu, Z Zhou, DT Pham Challenges and Opportunity with Big Data: 19th Monterey Workshop 2016 …, 2017 | 12 | 2017 |
| Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics S Tian, X Xie, W Xu, J Liu, X Zhang The International Journal of Advanced Manufacturing Technology, 1-23, 2023 | 9 | 2023 |
| Adaptive support-weight stereo-matching approach with two disparity refinement steps J Liu, Z Zhou, W Xu, J Hu Iete Journal of Research 65 (3), 310-319, 2019 | 9 | 2019 |
| Digital twin-driven robotic disassembly sequence dynamic planning under uncertain missing condition J Liu, Z Xu, H Xiong, Q Lin, W Xu, Z Zhou IEEE Transactions on Industrial Informatics, 2023 | 7 | 2023 |
| Energy-efficient multi-level collaborative optimization for robotic manufacturing systems W Xu, H Du, J Liu, B Yao, Z Zhou, DT Pham Procedia CIRP 72, 316-321, 2018 | 7 | 2018 |
| Development of thin-slice fiber Bragg grating-giant magnetostrictive material sensors used for measuring magnetic field of magnetic bearings G Ding, H Wang, J Liu, B Gao, B Zhang Optical Engineering 54 (10), 107102-107102, 2015 | 7 | 2015 |
D T PHAMUniversity of Birmingham在 bham.ac.uk 的电子邮件经过验证
