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职称:副教 授电话: 邮箱:lixixing@hbut.edu.cn 学历:工学博士 |
硕/博士导师:硕士导师 团队信息:智能制造技术团队 研究方向:智造管控优化、机械手抓取 研究生情况:毕业7人、在读9人 |
一、个人简历
1990年7月生,湖北省“楚天学子”,智能制造系副主任。研究方向为智能制造系统设计与优化,主要聚焦于生产调度优化方法和机械手智能抓取方法设计、MES/ERP等管控系统研发等。
二、教育背景
2011/9–2017/6,武汉理工大学,机械工程,博士(硕博连读),导师:郭顺生
2007/9–2011/7,济南大学,机械工程及自动化,学士
三、工作经历
2023/3–至今,宁波大学-宁波慈星股份有限公司,博士后
2020/8–至今,湖北工业大学,机械工程学院,副教授
2017/7–2020/7,湖北工业大学,机械工程学院,讲师
四、研究课题及论文
(1)研究课题
1.湖北省技术创新专项(揭榜制类),2023BEB043,储氢瓶内胆纤维激光辅助缠绕关键技术研究,2023/03-2025/02,50万元,在研,主持
2.湖北省科技重大专项, 2021AAA007, 5G+离散型制造智能工厂关键技术研究, 2021-07至 2024-06, 1000万元, 在研, 参与
3.企业横向合作项目,基于工业互联网的针织毛衫柔性供应链云管理平台研发,2023/08-2024/07,15万元,在研,主持
4.湖北省自然科学基金(面上),2022CFB445,融合接单决策复杂产品制造车间生产调度优化方法研究,2022/06-2024/06,5万元,结题,主持
5.湖北工业大学绿色工业科技引领计划,XJ2021005001,数字孪生驱动的柔性作业车间绿色调度优化方法研究,2022/01-2023/12, 10万元, 结题, 主持
6.企业横向合作项目,生产线仿真优化设计,2022/07-2023/08,15万元,结题,主持
7.国家自然科学基金青年项目,51805152,搬运机器人路径规划与柔性作业车间生产调度集成优化研究,2019/01-2021/12,24万元,结题,主持
8.企业横向合作项目,特种钢板生产线数据采集系统开发,2021/12-2022/06,10万元,结题,主持
9.湖北省工业机器人产业重大科技创新项目,2019AAA069,机器人微小型高精度RV减速器研发,2019/01-2021/12,200万元,在研,参加
10.湖北省2019年揭榜制项目,2019AEE014,特种车辆白车身智能生产线的研发与应用,2019/10-2022/3,100万元,结题,参加
(2)代表性论著
1.李西兴、吴锐、朱传军、殷希彦. Research on Modeling and Optimization Approach of Flexible Job Shop Scheduling Problem [M], 中国水利水电出版社, 468千字, 2021.12. (英文专著,国家级出版社)
2.Xixing Li, Chenchen Wu, Rui Wu*, et al. Multi-objective fuzzy green scheduling optimization method of special vehicle body-in-white prototype shop considering equipment preventive maintenance [J]. Journal of Cleaner Production, 2024, 462: 142660. (中科院1区)
3.Xixing Li, Qingqing Zhao, Hongtao Tang*, et al. Flexible Job Shop Composite Dispatching Rule Mining Approach Based on An Improved Genetic Programming Algorithm [J]. Tsinghua Science and Technology, 2024, 29(5): 1390-1408. (中科院1区)
4.Xixing Li, Qingqing Zhao, Hongtao Tang*, et al. Joint Scheduling Optimisation Method for the Machining and Heat-treatment of Hydraulic Cylinders Based on Improved Multi-objective Migrating Birds Optimisation [J]. Journal of Manufacturing Systems, 2024, 73: 170-191 (中科院1区)
5.Xixing Li, Xing Guo, Hongtao Tang*, et al. An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing [J]. Computers & Industrial Engineering, 2023, 176: 108921.(中科院1区)
6.Xixing Li, Xing Guo, Hongtao Tang*, et al. Survey of integrated flexible job shop scheduling problems [J]. Computers & Industrial Engineering, 2023, 174: 108786. (中科院1区)
7.Tanghong Tao, Wei Zhang, Xixing Li*, et al. A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem [J]. Computers & Operations Research, 2024, DOI: https://doi.org/10.1016/j.cor.2024.106563. (中科院2区)
8.Xixing Li, Rui Yang, Hongdi Zhou*. YOLOv5s-GC-Based Surface Defect Detection Method of Strip Steel [J]. Steel Research International, 2024, DOI: https://doi.org/10.1002/srin.202300421. (中科院3区)
9.Xixing Li, Lei Wang*, Chuanjun Zhu, et al. Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor [J]. Journal of Manufacturing Systems, 2021, 58: 281-292.(中科院1区)
10.Hongdi Zhou, Lin Zhu, Xixing Li*. Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis [J]. Shock and Vibration, 2022, 8946094.(中科院4区)
11.Hongdi Zhou, Tao Huang, Xixing Li*, Fei Zhong. Cross-Domain Intelligent Fault Diagnosis of Rolling Bearing Based on Distance Metric Transfer Learning [J]. Advances in Mechanical Engineering, 2022, 14(11): 16878132221135740.(中科院4区)
12.Xixing Li, Hongtao Tang*, Zhipeng Yang, et al. Integrated Optimization Approach of Hybrid Flow-Shop Scheduling Based on Process Set [J]. IEEE Access, 2021, 8: 223782-223796.(中科院3区)
13.Xixing Li, Baigang Du, Yibing Li*, et al. RFID-Based Tracking & Monitoring Approach of Real-time Data in Production Workshop [J]. Assembly Automation, 2019, 39(4): 648-663.(中科院4区)
14.Xixing Li, Zhao Peng*, Baigang Du, et al. Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems [J]. Computers & Industrial Engineering, 2018, 113: 10-26.(中科院1区)
15.Hongtao Tang, Xixing Li*, Shunsheng Guo, et al. An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm [J]. Journal of Intelligent Manufacturing, 2017, 28(8): 1817-1826.(中科院1区)
五、科研成果及专利
1.申请发明专利11项,授权6项
2.获得软件著作权6项
六、奖励荣誉
1.获得省部级科学技术进步二等奖1项、三等奖1项
2.校年度考核优秀等级3次(2018、2019、2023)
3校年度课程教学“百优教师”(2021)
4.校优秀班导师1次(2019)