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Degree:Doctoral Degree
School/Department:经济管理学院

程春

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Gender:Female

Alma Mater:蒙特利尔大学

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程春, 大连理工大学经济管理学院教授、博士生导师。主要研究方向为物流系统运营管理与优化,具体包括设施选址问题、即时配送平台运力规划和调度问题、无人机/车辆路径规划问题等。主要使用的技术包括组合优化、鲁棒优化以及算法开发。以第一/通讯作者在管理学UTD24期刊Manufacturing and Service Operations Management, INFORMS Journal on Computing, 物流领域顶级期刊Transportation Science, Transportation Research Part B (3篇), 权威期刊 Transportation Research Part E,Omega, International Journal of Production Economics上发表多篇高水平论文。主持国家自然科学基金青年基金项目、辽宁省自然科学基金项目。担任中国运筹学会行为运筹与管理分会第三届常务理事。担任多个国际期刊审稿人, 如OR, IJOC, TS, POM, TR-Part B/E, EJOR, Omega等。 博士后和研究生招生:1. 常年招博士后,提供具有市场竞争力的薪酬、国内一流的科研环境、优良的国际/内科研合作渠道。2. 招2025年入学的博士研究生1名、硕士研究生2名,欢迎管理科学、工业工程、数学等专业的学生报考。有硕士学位准备攻读博士学位的申请者,要求有一作(或导师一作、申请者二作)SCI/SSCI期刊论文发表经历(或处于minor revision状态的论文)。简历中请包含以下信息:论文情况、本硕成绩、英语成绩、编程能力。同时附上成绩单。3. 欢迎本科二年级学生提前联系进行科研训练。联系方式:chengchun@dlut.edu.cn 工作经历:2023.06至今 大连理工大学经济管理学院教授、博导2023.12 – 2024.01 新加坡国立大学 访问学者2022.07 – 2022.12 新加坡国立大学 访问学者2020.12 – 2023.06 东北财经大学 助理教授(常任轨)2009.07 – 2013.08 中国石化催化剂齐鲁分公司 工程师教育经历:2016.08 – 2020.10 加拿大蒙特利尔大学应用数学专业 博士2020.01 – 2020.06 麻省理工学院 访问博士生2019.04 – 2019.09 新加坡国立大学 访问博士生2013.09 – 2016.07 清华大学物流工程专业 硕士2005.09 – 2009.07 中国石油大学(华东)机械设计专业 本科获奖及荣誉:2021年 加拿大运筹优化研究中心GERAD 优秀博士论文2016年 清华大学优秀毕业生、优秀硕士毕业论文主持科研项目:[2] 国家自然科学基金青年项目: 无人机在复杂环境中的最后一公里配送优化研究, 2022.01-2024.12[1] 辽宁省博士科研启动基金计划项目: 考虑无人机参与的物流配送系统路径规划研究, 2023.03-2025.02部分期刊论文(* 表示通讯作者, #表示学生, 完整列表请参考本人Google scholar)[14] Cheng, C., Adulyasak, Y., Rousseau, L.M., 2024. Robust Drone Delivery with Weather Information. Manufacturing and Service Operations Management, https://doi.org/10.1287/msom.2022.0339(UTD24期刊)[13] Yu, Q., Cheng, C.*, Zhu, N., 2022. Robust Team Orienteering Problem with Decreasing Profit. INFORMS Journal on Computing, 34(6), 3215-3233. (UTD24期刊)[12] Deng, F.#, Qin, H., Li, J., Cheng, C.*, 2022. The Pickup and Delivery Problem with Time Windows and Incompatibility Constraints. Transportation Science, 57(2), 444-462. [11] Cheng, C., Adulyasak, Y. and Rousseau, L.M., 2020. Drone Routing with Energy Function: Formulation and Exact Algorithm. Transportation Research Part B: Methodological, 139, 364-387. [10] Cheng, C., Qi, M., Zhang, Y., and Rousseau, L.M., 2018. A two-stage robust approach for the reliable logistics network design problem. Transportation Research Part B: Methodological, 111, 185-202. Zhou,[9] Zhou, H.#, Qin, H., Cheng, C.*, Rousseau, L.M., 2023. An Exact Algorithm for the Two-echelon Vehicle Routing Problem with Drones. Transportation Research Part B: Methodological, 168, 124-150. 一作周航是我联合指导的本科生。毕业去向:美国威斯康星大学麦迪逊分校攻读博士学位。[8] Qi, M., Yang, Y.#, Cheng, C.*, 2023. Location and Inventory Pre-Positioning Problem Under Uncertainty. Transportation Research Part E: Logistics and Transportation Review, 177, 103236. 二作杨影(导师一作)是我联合指导的硕士生。毕业去向:香港理工大学攻读博士学位。[7] Cheng, C., Yu, Q., Adulyasak, Y. and Rousseau, L.M., 2023. Distributionally Robust Facility Location with Uncertain Facility Capacity and Customer Demand. Omega, 122, 102959.[6] Cheng, C., Adulyasak, Y. and Rousseau, L.M., 2021. Robust Facility Location Under Demand Uncertainty and Facility Disruptions. Omega, 103, 102429. [5] Lu, X.#, Cheng, C.*, 2021. Locating Facilities with Resiliency to Capacity Failures and Correlated Demand Uncertainty. Transportation Research Part E: Logistics and Transportation Review, 153, 102444.[4] Cheng, C., Adulyasak, Y. and Rousseau, L.M., 2021. Robust Facility Location Under Disruptions. INFORMS Journal on Optimization, 3(3), 298-314. [3] Cheng, C., Qi, M. and Rousseau, L.M., 2018. Fuel consumption optimization model for the multi-period inventory routing problem. Transportation Research Record, 2672(9), 59-69.[2] Cheng, C., Yang, P., Qi, M. and Rousseau, L.M., 2017. Modeling a green inventory routing problem with a heterogeneous fleet. Transportation Research Part E: Logistics and Transportation Review, 97, 97-112. [1] Cheng, C., Qi, M., Wang, X. and Zhang, Y., 2016. Multi-period inventory routing problem under carbon emission regulations. International Journal of Production Economics, 182, 263-275.