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【个人简介】

方侃，浙江台州人，天津大学管理与经济学部工业工程系副教授，博士生导师，于2007年和2009年分别获得浙江大学数学系学士和硕士学位，2013年获得美国普渡大学工业工程博士学位，哥伦比亚大学商学院访问学者(2016.12-2017.12)。入选天津市“131”创新型人才培养工程、天津大学“北洋学者-青年骨干教师”计划，担任中国运筹学会排序分会理事。主要研究方向为调度优化、车辆路径优化、智能制造、风险管理、以及机器学习方法在管理优化中的应用，主要研究方法包括整数规划、精确算法、(元)启发式算法、以及近似算法等数学优化方法。讲授课程包括运筹学、高级运筹学、智能优化算法、优化理论、数学优化方法以及管理数学基础等。在INFORMS Journal on Computing (UTD24), Production and Operations Management (UTD24), European Journal of Operational Research, Annals of Operations Research, Journal of the Operational Research Society, International Journal of Production Research, Computers & Operations Research, International Journal of Production Economics, Journal of Business Research, Computers & Industrial Engineering, Journal of Manufacturing Systems, Journal of Management Science and Engineering, 《管理科学学报》等国内外权威期刊发表论文40余篇，主持国家自然科学基金项目2项，并参与国家自然科学基金重点项目、面上项目和青年项目多项。

【招生说明】：

1.具备扎实的数学基础和良好的编程能力，至少熟练掌握一门编程语言(本科专业建议为数学、计算机科学、信息管理、工业工程、统计等相关领域);

2.勤奋踏实，具有较强的自我驱动力;

3.善于钻研，执行力强，能够专注于科研任务;

4.性格开朗乐观，心理素质良好，具有积极向上的心态;

5.在同等条件下，优先考虑有志于继续攻读博士学位的学生。

【部分期刊论文(ABS3及以上等级)】

[1] D. Li*, K. E. Stecke, Y. Yin*, K. Fang, H. Jin, I. Kaku. Why and How Seru Production Systems Are Responsive and Efficient in Volatile Markets. Production and Operations Management, available online, 2025. (UTD24)

[2] D. Huang, Z. Mao, K. Fang*, S. Kumar, M. Zhang. Forecasting automobile sales with social media information under pandemic emergencies: Evidence from Chinese automobile industry. Annals of Operations Research, available online, 2025. (ABS3)

[3] Z. Mao, T. Cao, E. Fu, K. Fang*, D. Huang. An adaptive hybrid neighbourhood search algorithm for order acceptance and batch scheduling problem in additive manufacturing. International Journal of Production Research, available online, 2025. (ABS3)

[4] 方侃，安义丹，朱宁，黄典*。考虑无人机站的车辆路径规划问题。管理科学学报28(1): 61-76, 2025。(FMS T1)

[5] Y. Qiu, Y. Chen, Kan Fang, K. Fang*. A novel communication-efficient heterogeneous federated positive and unlabelled learning method for credit scoring. Computers & Operation Research 177: 106982, 2025. (ABS3)

[6] S. Wang*, H. Zhang, F. Chu, K. Fang. A cutting-plane algorithm for an orienteering problem with mandatory visits and simultaneous production. International Journal of Production Research, available online, 2025. (ABS3)

[7] Z. Mao, J. Zhang, Y. Sun, K. Fang, D. Huang*. Balancing parallel assembly lines with human-robot collaboration: problem definition, mathematical model and tabu search approach. International Journal of Production Research 63(1): 51-85, 2025. (ABS3)

[8] D. Huang, Z. Mao*, K. Fang*, E. Fu, M.L. Pinedo. An Improved Combinatorial Benders Decomposition Algorithm for the Human-Robot Collaborative Assembly Line Balancing Problem. INFORMS Journal on Computing, available online, 2024. (UTD24)

[9] Y. Qiu, Y. Chen, Kan Fang*, L. Yu*, K. Fang*. Fraud Detection by Integrating Multisource Heterogeneous Presence-only Data. INFORMS Journal on Computing, available online, 2024. (UTD24)

[10] K. Fang, E. Fu*, D. Huang*, G.Y. Ke, M. Verma. A value-at-risk based approach to the routing problem of multi-hazmat railcars. European Journal of Operational Research 320(1): 132-145, 2025. (ABS4)

[11] Z. Mao, E. Fu, D. Huang, K. Fang*, L. Chen. Combinatorial Benders decomposition for single machine scheduling in additive manufacturing with two-dimensional packing constraints. European Journal of Operational Research 317(3):890-905, 2024. (ABS4)

[12] Z. Mao, Y. Sun, K. Fang, D. Huang*, J. Zhang. Balancing and scheduling of assembly line with multi-type collaborative robots. International Journal of Production Economics 271: 109207, 2024. (ABS3)

[13] Z. Mao, Y. Sun, K. Fang, D. Huang*, J. Zhang. Model and metaheuristic for human–robot collaboration assembly line worker assignment and balancing problem. Computers & Operations Research 165: 106605, 2024. (ABS3)

[14] D. Wang, K. Fang*, W. Luo, W. Ouyang. Approximation algorithms for mixed batch scheduling on parallel machines. Journal of the Operational Research Society 75(12): 2365-2374, 2024. (ABS3)

[15] K. Fang, W. Luo*, M.L. Pinedo, M. Jin, L. Lu. Rescheduling for new orders on a single machine with rejection. Journal of the Operational Research Society 75(2): 346-360, 2024. (ABS3)

[16] Z. Mao, J. Zhang, K. Fang, D. Huang*, Y. Sun. Balancing U-type assembly lines with human-robot collaboration. Computers & Operations Research 159: 106359, 2023. (ABS3)

[17] S. Chen, Y. Qiu*, J. Li, K. Fang, Kuangnan Fang*; Precision marketing for financial industry using a PU-learning recommendation method. Journal of Business Research 160: 113771, 2023. (ABS3)

[18] D. Huang, Z. Mao, K. Fang*, L. Chen. Solving the shortest path interdiction problem via reinforcement learning. International Journal of Production Research 61(1): 31-48, 2023. (ABS3)

[19] D. Huang, Z. Mao, K. Fang*, B. Yuan. Combinatorial Benders decomposition for mixed-model two-sided assembly line balancing problem. International Journal of Production Research 60(8): 2598-2624, 2022. (ABS3)

[20] K. Fang, S. Wang*, M.L. Pinedo, L. Chen, F. Chu. A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions. European Journal of Operational Research 291(1): 128-146, 2021. (ABS4)

[21] K. Fang*, W. Luo, A. Che. Speed scaling in two-machine lot-streaming flow shops with consistent sublots. Journal of the Operational Research Society 72(11): 2429-2441, 2021. (ABS3)

[22] Z. Mao, D. Huang, K. Fang*, C. Wang, D. Lu. Milk-run routing problem with progress-lane in the collection of automobile parts. Annals of Operations Research 291: 657–684, 2020. (ABS3)

[23] Q. Yu, K. Fang*, N. Zhu*, S. Ma. A matheuristic approach to the orienteering problem with service time dependent profits. European Journal of Operational Research 273(2): 488-503, 2019. (ABS4)

[24] S. Wang, Z. Zhu, K. Fang, F. Chu, C. Chu*. Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs. International Journal of Production Research 56(9): 3173-3187, 2018. (ABS3)

[25] K. Fang, G.Y. Ke*, M. Verma. A routing and scheduling approach to rail transportation of hazardous materials with demand due dates. European Journal of Operational Research 261(1): 154-168, 2017. (ABS4)

[26] K. Fang, N.A. Uhan*, F. Zhao, J.W. Sutherland. Scheduling on a single machine under time-of-use tariffs. Annals of Operations Research 238(1): 199-227, 2016. (ABS3)

[27] K. Fang, N.A. Uhan*, F. Zhao, J.W. Sutherland. Flow shop scheduling with peak power consumption constraints. Annals of Operations Research 206(1): 115-145, 2013. (ABS3)

【承担科研项目】

[1] 结合增材制造加工和配送特性的调度优化研究，国家自然科学基金面上项目，2025.1-2028.12，主持，在研

[2] 可持续制造下考虑能源目标的流水作业排序理论与方法研究，国家自然科学基金青年科学基金项目，2018.1-2020.12，主持（已结题，绩效评估为优）

【学术兼职与服务】

[1] 国家自然科学基金通讯评审专家

[2] 中国运筹学会排序分会理事

[3] 天津市工业工程学会理事

[4] 中国运筹学会终身会员

[5] 美国运筹学和管理科学研究协会(INFORMS)会员

[6] 国际工业与系统工程师学会(IISE)会员

[7] 期刊匿名审稿专家：INFORMS Journal on Computing, Production and Operations Management, European Journal of Operational Research, Journal of Scheduling, Omega, Annals of Operations Research, Journal of the Operational Research Society, Computers & Operations Research, Computational Optimization and Applications, International Journal of Production Research, OR Spectrum, IEEE Transactions on Engineering Management, Journal of Heuristics, Journal of Combinatorial Optimization, Computers & Industrial Engineering, Asia-Pacific Journal of Operational Research, Operational Research, Journal of Management Science and Engineering, 中国运筹学会会刊, 运筹与管理等