基本信息

男，1993年8月生，工学博士，讲师，硕士生导师，目前担任北京工业大学机械制造及其自动化系副主任。主要从事高端数控机床制造装配、智能制造技术相关研究工作。发表SCI/EI论文10余篇，授权国家发明专利7项。担任《工业工程》期刊青年编委、EAAI等期刊审稿人。主持中国博士后科学基金面上项目1项、北京市教委科研计划科技一般项目1项。获得2023年度机械工业科学技术奖科技进步二等奖1项、2023年度北京市科学技术奖科技进步二等奖1项。

教育与工作经历

2022.07至今，北京工业大学，机械与能源工程学院，讲师

2018-09至2022-06,北京工业大学,机械工程,博士

2016-09至2018-07,北京工业大学,机械工程,硕士

2012-09至2016-07,北京工业大学,机械工程及其自动化,学士

研究方向

生产排产优化与动态调度、制造车间数字孪生技术、机床复杂构件装配序列优化

科研项目

（1）中国博士后科学基金面上项目：多元作业与频发扰动下柔性制造弹韧均衡调度研究，2023.05.01-2024.07.31，主持；

（2）北京市教委科研计划科技一般项目：柔性离散制造车间不确定扰动表征与高响应动态调度方法研究，2024.01.01-2026.12.31，主持。

代表性研究成果

[1]Yan Jun, Liu Zhifeng, Zhang Caixia, Zhang Tao, Zhang Yueze, Yang Congbin. Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop [J]. Robotics and Computer-Integrated Manufacturing, 2021, 72: 102198.

[2]Liu Zhifeng, Zha Jiming,Yan Jun*, Zhang Yueze, Zhao Tianzuo, Cheng Qiang, Cheng Chenyang. An improved genetic algorithm with an overlapping strategy for solving a combination of order batching and flexible job shop scheduling problem [J]. Engineering Applications of Artificial Intelligence, 2024, 127(Part B): 107321.

[3] Chu Hongyan, Dong Ke,Yan Jun*, Li Zhuoran, Liu Zhifeng, Cheng Qiang, Zhang Caixia. Flexible process planning based on predictive models for Machining time and energy consumption [J]. The International Journal of Advanced Manufacturing Technology, 2023, 128: 1763-1780.

[4]Liu Zhifeng,Yan Jun, Cheng Qiang, Yang Congbin, Sun Shuwen, Xue Deyi. The mixed production mode considering continuous and intermittent processing for an energy-efficient hybrid flow shop scheduling [J]. Journal of Cleaner Production, 2020, 246: 119071.

[5]Liu Zhifeng,Yan Jun, Cheng Qiang, Chu Hongyan, Zheng Jigui, Zhang Caixia. Adaptive selection multi-objective optimization method for hybrid flow shop green scheduling under finite variable parameter constraints: case study [J]. International Journal of Production Research, 2021, 59: 1933239.

[6]Zhang Yueze, Zhang Caixia,Yan Jun, Yang Congbin, Liu Zhifeng. Rapid construction method of equipment model for discrete manufacturing digital twin workshop system [J]. Robotics and Computer-Integrated Manufacturing, 2022, 75: 102309.

[7]Li Guan, Liu Zhifeng, Cai Ligang,Yan Jun. Standing-posture recognition in human–robot collaboration based on deep learning and the dempster–shafer evidence theory [J]. Sensors, 2020, 20(4): 1158.

[8]Yan Jun, Liu Zhifeng, Zhang Tao, Zhang Yueze. Autonomous decision-making method of transportation process for flexible job shop scheduling problem based on reinforcement learning [C]. 2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), IEEE, 2021, 234-238.

[9]刘志峰，闫俊，张彩霞，初红艳，董树林.一种具有可变参数连续加工与间歇加工的混合流水车间调度方法[P].国家发明专利/国际专利PCT, 2020-12-04, ZL201911175486.1.

[10]刘志峰，闫俊，程强，张彩霞.考虑加热炉连续性加工的混合生产车间节能调度方法[P].国家发明专利, 2020-12-04, ZL201911175482.3.