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LIANG Zhe
LIANG Zhe

Chair Professor

Department: Management Science and Engineering

Office: Siping Rd 1500, Tongji Building A, Rm 1913

liangzhe@tongji.edu.cn

  • 2011, Ph.D. in Industrial & Systems Engineering, Rutgers, The State University of New Jersey
  • 2003, Master in Industrial & Systems Engineering, National University of Singapore
  • 2001, Bachelor in Computer Engineering, National University of Singapore

EMPLOYMENT

  • 2014-Now: School of Economics and Management, Tongji University
  • 2011-2013: Department of Industrial Engineering & Management, Peking University

 

RESEARCH FIELD

  • Methodology: Large-scale Combinatorial Optimization, Linear & Integer programming, Network Optimization, Quadratic Programming
  • Applications: Aviation Operations Research, Logistics, and Scheduling

 

TEACHING INTERESTS

  • Linear & Integer Programming
  • Stochastic Programming
  • Data Structures & Algorithms
  • Civil Aviation Operations Management

 

RESEARCH PROJECTS

  • PI, "Large-Scale Combinatorial Optimization in Airline Operations Management", the National Science Fund for Distinguished Young Scholars, National Science Foundation of China, 2018-2023.
  • PI, "Airline Operations Management", the National Science Fund for Excellent Young Scholars, National Science Foundation of China, 2015-2017.
  • PI, "A Rotation-tour Network Model for the Weekly Aircraft Maintenance Routing Problem and the Integration with the Weekly Fleet Assignment", the Youth Fund of National Science Foundation of China, 2013-2015.
  • PI, "A Cooperative Decision Making Model for the Flight Conflict Resolution Problem in Busy Air routes of China", New Teachers' Fund for Doctor Stations, Ministry of Education, China, 2013-2015.

 

PUBLICATIONS (INFORMS Journal on Computing×3, Transportation Science×4, Transportation Research Part B×5, Book×1)

A. Aviation Management

A1. Z. Zhang*, Y. Che, Z. Liang. Split-demand multi-trip vehicle routing problem with simultaneous pickup and delivery in airport baggage transit. European Journal of Operational Research, vol 312(3), pages 996-1010, 2024.

A2. L. Huang, F. Xiao*, J. Zhou, Z. Duan, H Zhang,  Z. Liang. A machine learning based column-and-row generation approach for integrated air cargo recovery problem. Transportation Research Part B, vol 178, 102846, 2023.

A3. 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, vol 310(1), pages 360-378, 2023.

A4. 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.

A5. 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.

A6. 谢可欣,徐根焰,苏艺,梁哲*, 飞机维修计划编排问题的研究综述, 运筹与管理, 第32卷第十期, 233-240, 2023.

A7. 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.

A8. 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.

A9. 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.

A10. 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.

A11. 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.

A12. 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.

A13. 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.

A14. Z. Liang*, and W. A. Chaovalitwongse, A network-based model for the integrated weekly aircraft maintenance routing and fleet assignment problem, Transportation Sciencevol 47(4), pages 493-507, 2013.

A15. 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.

A16. 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.

A17. 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. Transportation and Logistics Management

B1. H. Pan, L.Yang*, Z. Liang, H. Yang, New exact algorithm for the integrated train timetabling and rolling stock circulation planning problem with stochastic demand, European Journal of Operational Research, online first, 2024.

B2. C. Wang, L. Miao, C. Zhang*, T. Wu, Z. Liang, Robust optimization for the integrated berth allocation and quay crane assignment problem, Naval Research Logistics, vol 71, 452-476, 2024.

B3. 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.

B4. T. Wu, C. Zhang*, W. Chen, Z. Liang, X. Zhang, Unsupervised learning-driven mathheuristic for production-distribution problems, Transportation Science, vol 56(6), 1677-1702, 2022.

B5. 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.

B6. 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.

B7. 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.

B8. 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.

B9. 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.

B10. 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.

B11. 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.

B12. 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.

B13. 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. Manufacturing

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, 2022.

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. Misc

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.

  • Guest Editor for Annals of Operations Research
  • Reviewers for the following Journals:

Annals of Operations Research, Computer Networks, Computers & Industrial Engineering, European Journal of Operational Research, IEEE Transactions on Automatic Control, IEEE Transactions on Automation Science and Engineering, IIE Transactions, Journal of Air Transportation Management, Journal of Applied Mathematics, Journal of Advanced Transportation, Journal of Combinatorial Optimization, Journal of Global Optimization, Journal of Scheduling, Operations Research, Optical Switching and Networking, Optimization Letters, Transportation Research Part B, Transportation Research Part C, Transportation Research Part E, Transportation Science, Transportmetrica A

  • Recipient of Shanghai Outstanding Academic Leaders Plan, Shanghai Municipal Science and Technology Committee, 2019
  • Recipient of the National Science Fund for Distinguished Young Scholars, 2018.
  • Recipient of Shanghai "Dawn" Scholar, Shanghai Education Commission, 2017.
  • Winner, Sabre Airline Recovery Competition, 2016.
  • Recipient of the National Science Fund for Excellent Young Scholars, 2014.
  • Best Graduate Student, Engineering School, Rutgers University, 2011.
  • Winner, INFORMS New Jersey Chapter Student Competition, 2010.
  • Last Update on May, 2018.
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