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  • 赵亚萍

    Email:yaping.zhao@szu.edu.cn
    现任职位:副教授
    办公电话:0755-26910842

基本信息

赵亚萍,博士生导师、深圳大学荔园优青、新锐研究生导师、常州市“双岗互聘计划”高层次人才,博士毕业于北京大学。已经在European Journal of Operational Research、International Journal of Production Research、IEEE Transactions on Automatic Control、IEEE Transactions on Automation Science and Engineering、International Journal of Production Research等期刊发表多篇学术论文,主持有国家自然科学基金、教育部文社科基金、广东省自然科学基金、广东省哲学社会科学基金等多个国家级/省部级科研项目,多次担任European Journal of Operational Research、Annals of Operations Research、IEEE Transactions on Automation Science and Engineering、Computers & Industrial Engineering等期刊匿名审稿人。获得广东省物流与供应链学会科学技术奖、广东省本科高校物流管理与工程类专业优秀教学成果一等奖、广东省本科高校物流管理与工程类专业高等教育优秀教师奖、Wiley开放科学高贡献作者奖、中国运筹学会排序分会学术交流年会最佳会议论文奖、智能制造系统工程学术会议优秀论文奖等奖项。


研究领域

物流与供应链管理,绿色生产调度,能源系统管理,信息经济学,智能优化理论与应用等

教育背景

北京大学,管理学博士

职业经历

2024.3-至今 深圳大学,经济学院,副教授

2021.1~2023.12 深圳大学,经济学院,特聘副研究员

2018.9~2024.2 深圳大学,经济学院,助理教授

研究成果

论文:

Xu L, Huang W, Zhao Y*, et al. Stochastic optimization for on-time delivery in high-speed railway meal services: balancing earliness and tardiness costs[J], Industrial Management & Data Systems, accepted,2025.

Bai C, Wang H, Xue Q, Zhao Y*. Financial crime and corporate social responsibility: Evidence from China[J]. Journal of International Money and Finance, 2025, 151: 103258.

Liu S, Ren X, Feng W, Zhao Y*. Calculation of transmission ratio for compound gear train based on transfer block diagram and MATLAB implementation[J]. Asia-Pacific Journal of Operational Research, 2025: 2540004.

Tao B, Yan L, Zhao Y, et al. Bayesian analysis of multi-fidelity modeling in the stochastic simulations[J]. Computers & Industrial Engineering, 2025, 199: 110749.

赵影,赵亚萍.数字化变革驱动物流产业链现代化的作用机理与影响路径[J].商业经济研究, 2025(5):76-79.

Zhao Y, Chen C, Mo X, Xu X*. Data-driven optimization for energy-constrained dietary supplement scheduling: a bounded cut MP-DQN approach[J].Computers & Industrial Engineering, 2024, 188-109894.

任晓欣,莫翔志,陈庆粤,赵亚萍*,买方直接融资模式下的采购合约策略研究[J].系统管理学报,2024,33(2): 312.3.

Zhao Y, Huang J*, Xu E, Wang y, Xu X. A data-driven scheduling approach for integrated electricity-hydrogen system based on impoved DDPG[J]. lET Renewable Power Generation,2024,18(3):442-4554.

Zhao Y, Luo H, Chen Q, Xu X*, Optimizing pricing and inventory strategies for dietary supplement production under stochastic demand[J], Industrial Management & Data Systems,2023,2013-2037.

赵亚萍,莫翔志,牛奔*.峰值能耗下随机订单的模型预测控制[J].信息与控制,2023,52(4):551-560.

Zhao Y, Huang W, Xu E, Xu X, Pricing and green promotion decisions in a retailer-owned dual-channel supply chain with multiple manufacturers, Cleaner Logistics and Supply Chain, 2023 ,6:100092.

Zhao Y, Kong X Xu X*, Xu E. Resource-controlled stochastic customer order scheduling via particle swarm optimization with bound infomation[J]. Industrial Management & Data Svstems,2022 .122(8):1882-1908.

Zhao Y, Xu X*, Xu E, Ben N, Stochastic customer order scheduling on heterogeneous parallel machines with resource allocation consideration[J],Computers & Industrial Engineering,2021:107539

Wu L, Zhao Y*, Feng Y, et al. Minimizing makespan of stochastic customer orders in cellular manufacturing systems with parallel machines[J]. Computers & Operations Research.2021.1-16.

Li H, Li Z, Zhao Y, Xu X*. Scheduling customer orders on unrelated parallel machines to minimize total weighted completion time[J]. Journal of the Operational Research Society, 2021.72(8):1726-1736.

Li H, Xu X*, Zhao Y*. Efficient simulation budget allocation with bound information[J]. lEEE Transactions on Automatic Control. 2019,65(1),207 -222.

Zhao Y, Xu X*, Li H. lnventory-constrained throughput optimization for stochastic customer orders[J]. lEEE Transactions on Automation Science and Engineering,2018,16(3),1218-1231.

Zhao Y, Xu X*, Li H. Minimizing expected cycle time of stochastic customer orders through bounded multi-fidelity simulations[J]. lEEE Transactions on Automation Science and Engineering,2018, 15(4): 1794-1809.

Zhao Y, Xu X*, Li H. Throughputs maximization of stochastic customer orders under two production schemes[J]. lEEE Transactions on Automation Science and Engineering,2017.14(2):745-757.

Zhao Y, Xu X*, Li H, Liu Y. Stochastic customer order scheduling with setup times to minimize expected cycle time[J]. International Journal of Production Research,2017.56(7):2684-2706.

Zhao Y, Xu X, Li H, et al. Prioritized customer order scheduling to maximize throughput[J]. European Journal of Operational Resealch,2016,255(2):345-356.

Xu X*, Zhao Y, Wu M, et al. Stochastic customer order scheduling to minimize long-run expected order cycle time[J]. Annals of Operations Research,2016.1-24.

Xu X*, Ma Y, Zhou Z, Zhao Y. Customer order scheduling on unrelated parallel machines to minimize total completion time[J]. IEEE Transactions on Automation Science and Engineering, 2015,12(1): 244-257.

Xu X*, Zhao Y, Li H, et al. Stochastic customer order scheduling using simulation-based genetic algorithm[C]. In 2015 Winter Simulation Conference (WSC).2015: 2317-2328.

Xu X*, Zhao Y, Li H, Liu Y. Stochastic customer order scheduling to maximize throughput[C]. In 2015 lEEE International Conference on Automation Science and Engineering (CASE).IEEE, 2015: 665-670.

Zhao Y, Xu X*, Li H. Effective throughput maximization of stochastic customer orders with inventory constraint[C]. In 2016 lEEE International Conference on Automation Science and Engineering (CASE). IEEE,2016: 1387-1393.

Zhao Y, Xu X*, Li H. Maximizing the long-run average expected profit of a periodic-review assemble-to-order system[C]. In 2017 1EEE International Conference on Automation Science and Engineering (CASE).IEEE,2017: 674-679.

Li H, Xu X*, Zhao Y. Customer order scheduling on unrelated parallel machines to minimize total weighted completion time[C]. in 2017 Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), 2017: 1-17.

Xu L, Huang W, Zhao Y*, Mo X, in R. High-speed railway meal delivery service: a stochastic scheduling perspective[J]. TRB Annual Meeting,2023.

赵亚萍,异质并行机环境下随机客户订单优化问题研究(Research on the Optimization of Stochastic Customer Orders in Heterogeneous Parallel Machine Environment).北京:《中国学术期刊(光盘版)》电子杂志社有限公司,2020.3.ISBN978-7-83014-030-4

项目:

1. 国家自然科学基金青年项目,资源配置支持下的随机客户订单动态调度问题研究(72001145),2021-01至2023-12,结题,主持.

2. 教育部人文社会科学青年基金项目,基于多种产品的零售商混合渠道供应链竞争与协同问题研究(20YJC630226),2020-01至2022-12,结题,主持.

3. 广东省自然科学基金面上基金项目,基于高级智能排产模型的营养保健品订单调度优化问题研究(2022A1515011235),2022-01至2024-12,结题,主持.

4. 广东省哲学社会科学规划常规项目,绿色产品市场中政府与零售商的信号传递策略研究(GD25YYJ53),2025-01-2027-06,在研,主持.

5. 深圳市稳定支持计划面上项目,“水-电-粮”纽带系统极端事件影响下的韧性提升问题研究(20231121092753001),2023-12至2025-11,在研,主持.

6. 广东省物流与供应链学会研究课题, 随机供电受限下的营养保健品生产调度优化研究(2023LS007C),2023-09至2024-08,结题,主持.

7. 教育部产学合作协同育人项目,智慧物流背景下基于实践能力的《物流学概论》课程优化设(9aab9924-c50e-4253-8f00-5f3bdebedb57),2021-03至2022-02,结题,主持.

8. 教育部产学合作协同育人项目,人工智能视野下的数字经济课程优化(240905407032327),2024.9-2025.8,在研,主持

9. 广东省高等教育教学研究和改革项目,基于智能优化算法的随机客户订单调度问题研究(2019071),2022-01至2024-12,结题,主持.

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