Jiayi Liu
Jiayi Liu
Verified email at whut.edu.cn
Cited by
Cited by
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 (9-12 …, 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
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
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
Industrial cloud robotics towards sustainable manufacturing
J Liu, W Xu, J Zhang, Z Zhou, DT Pham
International Manufacturing Science and Engineering Conference 49903 …, 2016
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
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
A Practical Energy Modeling Method for Industrial Robots in Manufacturing
W Xu, H Liu, J Liu, Z Zhou, DT Pham
Monterey Workshop, 25-36, 2016
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
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
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
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, 1-25, 2019
Automatic Detection of Subassemblies for Disassembly Sequence Planning.
Y Wang, F Lan, DT Pham, J Liu, J Huang, C Ji, S Su, W Xu, Q Liu, Z Zhou
ICINCO (1), 104-110, 2018
Intelligent condition perception network towards sustainable manufacturing capability for manufacturing systems
Q Liu, A Liu, Y Li, W Xu, J Liu, G Chen, W Dai
International Journal of Manufacturing Research 12 (3), 287-304, 2017
Dynamic Magnetic Field Measurement in the Air Gap of Magnetic Bearings Based on FBG-GMM Sensor
L Jiayi, Z Zude, D Guoping, W Huaqiang
Journal of the Optical Society of Korea 19 (6), 575-585, 2015
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, 2015
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
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, 1-13, 2020
Scheduling of Robotic Disassembly in Remanufacturing Using Bees Algorithms
J Liu, W Xu, Z Zhou, DT Pham
Evolutionary Computation in Scheduling, 257-298, 2020
Framework and Enabling Technologies of Cloud Robotic Disassembly
L Yuan, J Cui, X Zhang, J Liu
Procedia Computer Science 176, 3673-3681, 2020
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