赵亚萍，十大正规外围买球网站交通经济与物流管理系助理教授、特聘副研究员、硕士生导师。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等期刊发表论文，主持有国家自然科学基金和教育部文社科基金等科研项目，多次担任European Journal of Operational Research、IEEE Transactions on Automation Science and Engineering等期刊匿名审稿人。
供应链管理、高等运筹学、管理科学前沿等。
研究方向：精益管理、复杂生产系统建模与优化、客户订单调度、智能优化等
2009.9-2013.7 南昌大学经济与管理学院，获管理学学士学位；
2013.9-2018.7 北京大学工学院，管理学博士学位
2018.9-至今 十大正规外围买球网站助理教授
1. 研究成果：
[1] 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.
[2] 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.
[3] Zhao Y, Xu X*, Li H, et al. Prioritized customer order scheduling to maximize throughput[J]. European Journal of Operational Research, 2016, 255(2): 345-356.
[4] Zhao Y, Xu X*, Li H. Throughputs maximization of stochastic customer orders under two production schemes[J]. IEEE Transactions on Automation Science and Engineering, 2017, 14(2): 745-757.
[5] 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.
[6] Zhao Y, Xu X*, Li H. Inventory-constrained throughput optimization for stochastic customer orders[J]. IEEE Transactions on Automation Science and Engineering, 2018, 16(3), 1218-1231.
[7] Zhao Y, Xu X*, Li H. Minimizing expected cycle time of stochastic customer orders through bounded multi-fidelity simulations[J]. IEEE Transactions on Automation Science and Engineering, 2018, 15(4): 1794-1809.
[8] Li H, Xu X*, Zhao Y*. Efficient simulation budget allocation with bound information[J]. IEEE Transactions on Automatic Control. 2019,65(1), 207 - 222.
[9] Wu L, Zhao Y*, Feng Y, Niu B, Xu X. Minimizing makespan of stochastic customer orders in cellular manufacturing systems with parallel machines[J]. Computers & Operations Research. 2020，DOI：10.1016/j.cor.2020.105101. (SCI，JCR Q2，IF=3.424)
[10] Jiang Z, Zhao J, Yi,Z, Zhao Y. Inducing information transparency: the roles of gray market and dual-channel[J]. Annals of Operations Research, 2020,1-30, DOI：10.1007/s10479-020-03719-0. (SCI，JCR Q2，IF=1.864)
[11] 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. (SCI，JCR Q2，IF=3.199)
[12] 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. (SCI，JCR Q1，IF=5.431)
[13] 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, forthcoming, DOI: 10.1080/01605682.2020.1718010.
[14] Xu X, Zhao Y, Li H, Liu Y. Stochastic customer order scheduling to maximize throughput[C]. In 2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015: 665-670.
[15] Zhao Y, Xu X, Li H. Effective throughput maximization of stochastic customer orders with inventory constraints[C]. In 2016 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2016: 1387-1393.
[16] Zhao Y, Xu X, Li H. Maximizing the long-run average expected profit of a periodic-review assemble-to-order system [C]. In 2017 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2017: 674-679.
[17] 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.
[18] 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.
[19] 赵亚萍，异质并行机环境下随机客户订单优化问题研究(ISBN 978-7-83014-030-4)，总字数16.40万,《中国学术期刊（光盘版）》电子杂志社有限公司，2021.02.
2．申请项目：
(1) 国家自然科学基金青年项目，72001145， 资源配置支持下的随机客户订单动态调度问题研究，2021-01至2023-12，在研，主持
(2) 教育部人文社会科学研究青年基金项目，20YJC630226，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，2020-01至2022-12，在研，主持
(3) 广东省自然科学基金面上项目，2022A1515011235，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，2022-01至2024-12，在研，主持
(4) 教育部产学合作协同育人项目，9aab9924-c50e-4253-8f00-5f3bdebedb57，智慧物流背景下基于实践能力的《物流学概论》课程优化设，2021-03至2022-02，在研，主持
(5) 广东省高等教育教学研究和改革项目，智能制造背景下的《供应链管理》课程优化设计研究，2022-01至2024-12，在研，主持
(6) 深圳大学新引进教师科研启动项目(自然科学类)，2019071，基于智能优化算法的随机客户订单调度问题研究，2019-06至2021-05，结题，主持
