
| 教授 | 博士生导师 | 上海大学“伟长学者” 联系方式: fjyang@shu.edu.cn; fjyang1116@foxmail.com |
教育/工作背景
广东工业大学机械工程博士,曾任新加坡南洋理工大学Research Fellow
荣誉与人才计划
· 国家高层次人才引进计划青年项目
· 上海市海外高层次人才计划
· 德国“洪堡学者”
研究方向
聚焦智能制造系统优化,主要研究领域包括:
1. 半导体制造、芯片检测与封装过程的生产计划与调度优化
2. 智能优化算法(进化算法、强化学习、多目标优化)设计与应用
3. 精确算法与大规模优化模型(列生成、Benders 分解、数学规划)
4. 数据驱动优化:机器学习、预测模型与大数据分析
5. 复杂系统中的实时决策与资源调度(含医疗服务系统等)
学术成就
· 在IEEE Transactions、Expert Systems with Applications、European Journal of Operational Research等工业工程领域权威期刊发表论文40+篇
· 论文被引1200+次(Google Scholar)
· 获美国授权发明专利5项
招生信息
诚招博士后(年薪不低于36万)、博士/硕士研究生,优先考虑具备以下特质的申请者:
✓ 扎实的数学建模与优化算法基础
✓ 熟练的编程能力(Python/Matlab/C++等)
✓ 具备进化算法、强化学习等智能优化方法的研究经验
✓ 熟悉精确算法(如列生成、Benders 分解等)与数学理论推导,擅长模型构建、性质分析和理论证明
近期代表性科研成果:(*通讯作者)
Ø 期刊论文
1.Jiang Y. D., Yang, F. J.*, Li, C., (2025). Q-learning enhanced multi-objective particle swarm optimization for photolithography-etching scheduling in semiconductor manufacturing. Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2025.130506, Early Access.
2.Yang, F. J., Li, C., Zhang, C. J., et al. (2025). Optimal Scheduling of Single-armed Cluster Tools with Two Wafer Types and Chamber Cleaning. IEEE Transactions on Systems, Man and Cybernetics: Systems, 55(8): 5607-5618.
3.Yang, F. J., Li, C., Zhen, L., et al. (2025). Scheduling residency time-constrained single-armed cluster tools with two wafer types via mixed integer programming model. Expert Systems with Applications, 288, 128209.
4.Zhen, L., Zhang, X. Q., Yang, F. J.*, et al. (2025). Time-constrained single-armed cluster tools requiring chamber cleaning operations: schedulability analysis and scheduling approaches. IEEE Transactions on Systems, Man and Cybernetics: Systems. 55(7): 4552-4561.
5.Yang, F. J., Li, C., Wang, F., et al. (2025). Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm. Swarm and Evolutionary Computation, 94, 101864.
6.Yang, F. J., Xu X., Yang Z. Y., et al. (2025). Non-cyclic Scheduling of Single-armed Cluster Tools for Processing Two Wafer Types. IEEE Transactions on Automation Science and Engineering, 22: 14133-14146.
7.Yang F. J., Wang R., Chen N., et al. (2025).Scheduling Time-constrained Cluster Tools with Non-identical Parallel Processing Chambers. IEEE Transactions on Automation Science and Engineering, 22: 11613-11624.
8.Yang, F. J., Mönch, L.* (2025). An integrated method for external and internal scheduling of parallel cluster tools. Applied Operations and Analytics, 1(1), 1-16.
9.Fan, J. X., Zhang, C. J., Yang, F. J., et al. (2024). A matheuristic with re-lot-sizing strategies for flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations. European Journal of Operational Research, 319(3): 747-762.
10.Zhen L., Zhang B. Q., Yang F. J.*, et al. (2024). Efficient Scheduling of Residency-Time-Constrained Dual-Armed Cluster Tools With Condition-Based Chamber Cleaning Operations. IEEE Transactions on Automation Science and Engineering, 22: 5000-5011.
11.Li C., Yang Z., Yang F. J.* et al. (2024). A Novel and Efficient Real-time Sequencing Strategy for Appointment Scheduling with Unpunctual Patients. Journal of Scheduling, 27: 135-149.
12.镇璐, 张晓琴, 阳发军*. (2023). 带驻留时间约束及清洗工艺的晶圆制造设备调度研究. 系统工程理论与实践. 43(8): 2395-2411.
13.Li C., Yang F. J. *, and Zhen L. * (2022). Efficient Scheduling Approaches to Time-constrained Single-armed Cluster Tools with Condition-based Chamber Cleaning Operations. International Journal of Production Research, 60(11): 3555-3568.
14.Yang F. J., Wu N. Q., Qiao Y., et al. (2021). Wafer Sojourn Time Fluctuation Analysis for Time-Constrained Dual-Arm Multi-Cluster Tools with Activity Time Variation. International Journal of Computer Integrated Manufacturing, 34(7-8): 734-751.
15.Yang F. J., Tang X., Wu N. Q., et al. (2020). Wafer Residency Time Analysis for Time-constrained Single-robot-arm Cluster Tools with Activity Time Variation. IEEE Transactions on Control Systems Technology, 28(4): 1177-1188.
16.Yang F. J., Qiao Y., Gao K. Z, et al. (2020). Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers. IEEE Transactions on Systems, Man and Cybernetics: Systems, 50(10): 3646-3657.
Ø 美国授权专利
1. Wu, N. Q., Yang, F. J., Qiao, Y., Zhou, M. C. and Li Z. W., “Cluster tool apparatus and a method of controlling a cluster tool apparatus,” 2020-05-05, US Patent 10,643,873 B2.
2. Wu, N. Q., Yang, F. J., Bai L. P., Zhou, M. C. and Li Z. W., “Multi cluster tool system and a method of controlling a multi tool cluster system,” 2019-12-31, US Patent 10,520,914 B2.
3. Wu, N. Q., Yang, F. J., Qiao, Y., and Zhou, M. C., “System and method for determining an optimized schedule of a production line,” 2018-10-16, US Patent 10,101,721 B2.
4. Wu, N. Q., Yang, F. J., Qiao, Y., and Zhou, M. C., “Petri Net-Based Optimal One-Wafer Cyclic Scheduling of Treelike Hybrid Multi-Cluster Tools,” 2018-9-11, US Patent 10,073,444 B2.
5. Wu, N. Q., Yang, F. J., Qiao, Y., and Zhou, M. C., “Method for Scheduling Single-Arm Cluster Tools with Wafer Revisiting and Residency Time Constraints, 2015-12-29, US Patent 9,223,307 B1.