教师主页移动版

研究方向Research Directions 航空运营管理 2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。 科研项目 纵向课题负责人PI-1. 国家自然科学基金重点项目，《民航一体化运营优化和创新》，2023-2027.PI-2. 上海市科技人才计划项目，《基于机场视角的航空运营管理研究》，2019-2022.PI-3. 国家杰出青年基金，《航空运营管理中的大规模组合优化问题及算法研究》，2019-2023.PI-4. 上海市教委曙光计划项目，《不正常航班恢复问题的建模与算法研究》，2018-2019.PI-5. 国家自然科学基金优秀青年基金，《航空运营管理》，2015-2017.PI-6. 国家自然科学基金青年基金，《利用回旋时空网络求解飞机维护路径问题的新方法》，2013-2015.PI-7. 教育部博士点新教师基金，《基于协同决策方法的繁忙航路优化排程问题研究》，2013-2015.纵向课题参与人Co-1. 国家自然科学基金创新研究群体，《综合运输系统运营管理》，2021-2025.Co-2. 国家自然科学基金重大项目子课题，《城市群综合交通系统风险辨识与应急管理理论》，2019-2023.Co-3. 国家自然科学基金重点项目，《面向新型城镇化的城市群综合交通管理理论》，2016-2020.横向课题负责人Ind-1. 华为，《面向GTS领域部分优化问题的整数优化技术》，90万，2021.7 - 2022.5.Ind-2. 宝钢，《宝钢冷轧区域生产调度大规模优化》，2018.11-2019.6.Ind-3. 厦门航空公司，《航空运营管理优化技术》，300万，2018-2021. 研究成果 学术著作 (IJOC×3, TS×4, TRB×4, EJOR×4, etc.)A. 航空运营管理A1. W. Wang, K. Xie, S. Guo, W. Li, F. Xiao and Z. Liang, A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements, European Journal of Operational Research, online first, 2023.A2. W. Du, S. Zhu, L. Tong, K. Cai, and Z. Liang, Robust gate assignment to minimise aircraft conflicts, Transportmetrica B, vol 11(1), pages 1161-1185, 2023.A3. F. Xiao, S. Guo, L. Huang, L. Huang, and Z. Liang*, Integrated aircraft tail assignment and cargo routing problem with through cargo consideration, Transportation Research Part B, vol 168, pages 328-351, 2022.A4. J. Wang, G. Song, Z. Liang, E. Demeulemeester, X. Hu, and J. Liu, Unrelated parallel machine scheduling with multiple time windows: An application to earth observation satellite scheduling, Computers & Operations Research, vol 149, 106010, 2023.A5. Y. Su, K. Xie, H. Wang, Z. Liang*, W. Chaovalitwongse, and P. Pardalos, Airline disruption management: a review of models and solution methods, Engineering, vol 7(4), pages 435-447, 2021.A6. L. Zhou, Z. Liang*, C-A. Chou, and W. Chaovalitwongse, Airline planning and scheduling: models and solution methodologies, Frontiers of Engineering Management, vol 7(1), pages 1-26, 2020.A7. Z. Liang, X. Qian*, et al., A column generation-based heuristic for aircraft recovery problem with airport capacity constraints and maintenance flexibility, Transportation Research Part B, vol 113, 70-90, 2018.A8. Zhang, F. Xie, K. Huang, T. Wu, Z. Liang*, MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems, Transportation Research Part E, vol 103, pages 158-173, 2017.A9. Z. Liang, Y. Feng, T. Wu, X. Zhang, and W. A. Chaovalitwongse, Robust weekly aircraft maintenance routing problem and the extension to the tail assignment problem, Transportation Research Part B, vol 78, pages 238-259, 2015.A10. Z. Liang*, W. A. Chaovalitwongse, and E. A. Elsayed, Sequence assignment model for the flight conflict resolution problem, Transportation Science, vol 48(3), pages 351-372, 2014.A11. Z. Liang*, and W. A. Chaovalitwongse, A network-based model for the integrated weekly aircraft maintenance routing and fleet assignment problem, Transportation Science, vol 47(4), pages 493-507, 2013.A12. Z. Liang, W. A. Chaovalitwongse, H. C. Huang, and E. L. Johnson, On a new rotation-tour network model for aircraft maintenance routing problem, Transportation Science, vol 45(1), pages 109-120, 2011.A13. Z. Liang, W. A. Chaovalitwongse, A. D. Rodriguez, D. E. Jeffcoat, D. A. Grundel, and J. K. O'Neal, Optimization of spatiotemporal clustering for target tracking from multisensor Data, IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, vol 40(2), pages 176-188, 2010.A14. Z. Liang, and W. A. Chaovalitwongse, The aircraft maintenance routing problem, In W. A. Chaovalitwongse, K. C. Furman and P. M. Pardalos, editors, Optimization and Logistics Challenges in the Enterprise, pages 327-348, Springer, New York, 2009.B. 交通和物流B1. H. Pan, L. Yang*, Z. Liang*, Demand-oriented integration optimization of train timetabling and rolling stock circulation planning with flexible train compositions: A column-generation-based approach, European Journal of Operational Research, vol 305, 184-206, 2022.B2. T. Wu, C. Zhang*, W. Chen, Z. Liang, X. Zhang, Unsupervised Learning-Driven Matheuristic for Production-Distribution Problems, Transportation Science, vol 56(6), 1677-1702, 2022.B3. H. Pan, Z. Liu, L. Yang*, Z. Liang, Q. Wu, S. Li, A column generation-based approach for integrated vehicle and crew scheduling on a single metro line with the fully automatic operation system by partial supervision, Transportation Research Part E, vol 152, 102406, 2021.B4. K. Liu*, H. Gao, Z. Liang, M. Zhao, and C. Li, Optimal charging strategy for large-scale electric buses considering resource constraints, Transportation Research Part D, vol 99, 103009, 2021.B5. Y. Zheng, X. Zhang*, and Z. Liang, Multimodal subsidy design for network capacity flexibility optimization, Transportation Research Part A, vol 140(5), pages 15-35, 2020.B6. T. Wu, F. Xiao, C. Zhang, D. Zhang, and  Z. Liang*, Regression and extrapolation guided optimization for production–distribution with ship–buy–exchange options, Transportation Research Part E, vol 129, 15-37, 2019.B7. L. Zhen, Z. Liang, D. Zhuge, L. H. Lee, and E. P. Chew, Daily berth planning in a tidal port with channel flow control, Transportation Research Part B, vol 106, pages 193-217, 2017.B8. Y. Song, J. Zhang, Z. Liang, C. Ye, An exact algorithm for the container drayage problem under a separation mode, Transportation Research Part E, vol 106, pages 231-254, 2017.B9. Y. He, T. Wu, C. Zhang, and Z. Liang, An improved MIP heuristic for the intermodal hub location problem, Omega, vol 57, pages 203-211, 2015.B10. Z. Liang, W. A. Chaovalitwongse, and L. Shi, Supply chain management and logistics: Innovative strategies and practical solutions, CRC Press (Taylor & Francis), 2015. Available at Amazon.com.B11. H. C. Lau, and Z. Liang, Pickup and delivery problem with time windows, algorithms and test case generation. International Journal on Artificial Intelligence Tools, vol 11(3), pages 455-472, 2002.C. 智能制造C1. T. Wu, L. Huang, Z. Liang, X. Zhang, and C. Zhang, A Supervised Learning-Driven Heuristic for Solving the Facility Location and Production Planning Problem, European Journal of Operational Research, vol 301(4), 785-796, 2021.C2. D. Wang, F. Xiao, L. Zhou*,  and Z. Liang, Two-dimensional skiving and cutting stock problem with setup cost based on column-and-row generation, European Journal of Operational Research, vol 286(2), 547-563, 2020.C3. T. Wu, Z. Shi, Z. Liang, X. Zhang, and C. Zhang, Dantzig–Wolfe decomposition for the facility location and production planning problem, Computers & Operations Research, vol 124(4), 105068, 2020.C4. T. Wu, F. X., C. Zhang, Y. He, Z. Liang*, The green capacitated multi-item lot sizing problem with parallel machines, Computers & Operations Research, vol 106, pages 149-164, 2018.C5. T. Wu, Z. Liang*, and C. Zhang, Analytics optimization for the capacitated multi-item lot sizing problem with non-identical machines, INFORMS Journal on Computing, vol 30(2), pages 236-258, 2018.C6. T. Wu, K. Akartunalı, R. Jans, and Z. Liang*, Progressive selection method for the coupled lot-sizing and cutting-stock problem, INFORMS Journal on Computing, vol 29(3), pages 523-543, 2017.C7. Y. Pan, Z. Liang, Dual relaxations of the time-indexed ILP formulation for min-sum scheduling problems, Annals of Operations Research, vol 249(1), pages 197-213, 2017.C8. Z. Liang, Y. He, T. Wu, C. Zhang, An informative column generation and decomposition method for a production planning and facility location problem, International Journal of Production Economics, vol 170 (A), pages 88-96, 2015.C9. T. Wu, C. Zhang, Z. Liang, and S. C. H. Leung, A Lagrangian relaxation-based method and models evaluation for multi-level lot sizing problems with backorders, Computers & Operations Research, vol 40, pages 1852-1863, 2013.D. 其他D1. C. A. Chou, Z. Liang, W. A. Chaovalitwongse, T. Berger-Wolf, B. Dasgupta S. Sheikh, S. L. Putrevu, M. V. Ashley, and I. C. Caballero, Column generation framework of nonlinear similarity model for reconstructing sibling groups, INFORMS Journal on Computing, vol 27(1), pages 35-47, 2015.D2. Z. Liang, C. Lee, and W. A. Chaovalitwongse, Mathematical programming approaches for dual multicast routing problem with multilayer risk constraints, Annals of Operations Research, vol 203, pages 101-118, 2013.D3. Z. Liang, and W. A. Chaovalitwongse, A multicast problem with shared risk cost, Optimization Letters, vol 6(3), pages 571-584, 2012.D4. Z. Liang, and W. A. Chaovalitwongse, Bounds of redundant multicast routing problem with SRLG-diverse constraints: edge, path and tree models, Journal of Global Optimization, vol 38(2), pages 345-355, 2010.D5. Z. Liang, W. A. Chaovalitwongse, M. Cha, and S. B. Moon. Redundant multicast routing in multilayer networks with shared risk resource groups: complexity, models and algorithms, Computers & Operations Research, vol 37(10), pages 1731-1739, 2010.D6. A. D. Rodriguez, W. A. Chaovalitwongse, Z. Liang, H. Singhal, and H. Pham, Master defect record retrieval using network-based feature association, IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, vol 40(3), pages 319-329, 2010. 学生信息 当前位置：教师主页 > 学生信息 入学日期 所学专业 学号 学位 招生信息 当前位置：教师主页 > 招生信息 招生学院 招生专业 研究方向 招生人数 推免人数 考试方式 招生类别 招生年份