Maogen Ge - researchr alias

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Viewing Publication 1 - 6 from 6

2025

EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanismMingzhou Liu 0002, Zhangjie Rui, Xi Zhang, Maogen Ge, Lin Ling, Xiaoqiao Wang, Conghu Liu. eswa, 280:127340, 2025. [doi]

Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learningYu Gong, Xiaoqiao Wang, Chichun Zhou, Maogen Ge, Conghu Liu, Xi Zhang. jim, 36(3):1723-1742, March 2025. [doi]

Multi-action deep reinforcement learning-based collaborative production dynamic scheduling approach for networked multi-factory under mass customizationMingzhou Liu, Zhengfu Ding, Xi Zhang, Lin Ling, Maogen Ge. eaai, 157:111187, 2025. [doi]

Real-time shop floor operations improvement based on dynamic value stream mapping and hybrid simulation in Industry 4.0: an economic perspectiveMingzhou Liu, Mengyuan Sun, Xi Zhang, Maogen Ge, Jing Hu. ijpr, 63(18):6776-6800, 2025. [doi]

2017

Intelligent assembly system for mechanical products and key technology based on internet of thingsMingzhou Liu, Jing Ma, Lin Ling, Maogen Ge, Qiang Wang, Conghu Liu. jim, 28(2):271-299, 2017. [doi]

2015

Research on assembly quality adaptive control system for complex mechanical products assembly process under uncertaintyXiaoqiao Wang, Mingzhou Liu, Maogen Ge, Lin Ling, Conghu Liu. cii, 74:43-57, 2015. [doi]

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