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  • 个人简历
  • 教学
  • 研究领域
  • 研究成果
  • 奖励荣誉
  • Biography

    Canrong Zhang is a Professor in the Research Center for Digital Production and Smart Logistics, Shenzhen International Graduate School, Tsinghua University. He obtained his PhD degree in 2010 from the Industrial Engineering Department of Tsinghua University, and Bachelor degree in 2005 from the Industrial Engineering Department of Xi'an Jiaotong University.


    His research focuses on the application of operations research and data analytics techniques to problems in production, logistics and supply chain management. He has published more than fifty articles in mainly premier journals, including Transportation Science, Transportation Research Part B: Methodological, INFORMS Journal on Computing, IISE Transactions, European Journal of Operational Research, Naval Research Logistics, etc. He has been awarded the Distinguished Young Scholar by Natural Science Foundation of Guangdong Province.


    His study has gained over 15 research grants including four granted by the National Natural Science Foundation of China (NSFC) and one by the National Key R&D Program of China. In addition, he is also active in academia-industry collaboration. His research works have been translated into a series of optimization systems, ranging from tactical planning and operational scheduling to online dispatching and sequencing, which benefit several companies including Huawei Hisilicon Co., Ltd and Five Continents International Container Terminal in Tianjin Seaport.


    Dr. Zhang is actively engaged in the professional services for the research community. He presently is serving as an Area Editor for Computers & Industrial Engineering: An International Journal. In addition, he provides reviewing service for multiple journals, and also chaired or co-chaired several conference programs or sessions.

    CV download:



    Sept. 2008 - Sept. 2009Industrial Engineering, University of Wisconsin-Madison, Visiting Scholar

    Sept. 2005 -July 2010Industrial Engineering, Tsinghua University, Ph.D.

    Sept. 2000 -July 2005Industrial Engineering, Xi'an Jiaotong University, B.S.

    Professional Experience

    December 2020-PresentShenzhen International Graduate School, Tsinghua UniversityProfessor

    December 2013 - November 2020Shenzhen International Graduate School, Tsinghua University, Associate Professor

    July 2010 - November 2013Shenzhen International Graduate School, Tsinghua UniversityAssistant Professor

    Additional Positions

     Computers & Industrial EngineeringArea Editor

     INFORMS Conference on Service ScienceProgram Chair


    Personal Webpage

    Download CV

  • Current Courses

     Advanced Operations Research

     Production Management

     Inventory Management

      Analysis and Optimization on Logistics Systems

    Master’s & Ph.D. Advising

  • Research Interests

    Optimization and Data Analytics, with application areas focused on:

      Container Terminal Operations Optimization

      Production System Design, Planning and Scheduling

      Logistic Network Design and Optimization


     Related to container terminals:

    [1] National Natural Science Foundation of China, “Data-driven Algorithms for the Container Drayage Problem with the Drop-and-pull Separable Operation Mode” (PI), 1/2024 to 12/2027.

    [2] National Natural Science Foundation of China, “Study on Container Relocation Problems using Dynamic Decision-making and Data Mining” (PI), 1/2019 to 12/2022.

    [3] National Natural Science Foundation of China, “The Planning and Scheduling of Resources in Container Terminals with Consideration of Uncertainties” (PI), 1/2015 to 12/2018.

    [4] National Natural Science Foundation of China, “Location Assignment for Outbound Containers with Consideration of Container Reshuffling” (PI), 1/2012 to 12/2014.

    [5] Guangdong Province Natural Science Foundation for Distinguished Young Scholars, “Operation Optimization in Container Terminals (PI), 1/2021 to 12/2024.

    [6] Economic Promotion Bureau, Yantian District, “The 13th five-year planning for the logistic industry in Yantian District” (PI), 1/2015 to 3/2016.

    [7] Yantian Port International Information Co., Ltd., “Capacity evaluation index system for seaport logistics” (PI), 10/2014 to 2/2016.

    [8] Five Continents International Container Terminal, Tianjin Seaport, “Decision support system of yard planning and scheduling” (Co-PI, with Li Zheng), 5/2006 to 5/2008.


     Related to production:

    [1] National Key R&D Program of China, “Study on Reconstruction and Key Technology of HCPS-based Self-adaptive Intelligent Factory and Unmanned Production Line” (Co-PI, with Shaoyuan Li, Zhibin Jiang, Chao Fu, et al.), 12/2019 to 12/2022.

    [2] Shenzhen Municipal Science and Technology Innovation Committee, “Study on the Key Technology in the Decision Support System for the Fabrication and Test of Semiconductors” (PI), 9/2016 to 9/2018.

    [3] Hengli Smart Technologies Co. Ltd., “Cutting Stock Planning and Cutting Scheduling for Thin Film Production” (PI), 7/2023 to 4/2024.

    [4] Alibaba Cloud Computing Co. Ltd., “Buffer-based vehicle body shop, paint shop and assembly shop joint scheduling and sequencing problem” (PI), 9/2022 to 9/2023.

    [5] Huawei Technology Co., Ltd., “Planning and Scheduling for the Semiconductor Production” (PI), 12/2021 to 12/2022.

    [6] Huawei Hisilicon Co., Ltd., “Coordinated Control System for Warehousing Operations Using Kiva-like Logistic Robots” (PI), the period 6/2017 to 6/2020.

    [7] Huawei Hisilicon Co., Ltd., “Decision support system for warehousing operations” (PI), 6/2015 to 6/2018.

    [8] Huawei Hisilicon Co., Ltd., “Advanced Planning and Scheduling System for the fabrication and test of semiconductors” (PI), 4/2012 to 12/2014.

    Research Output

  • Selected Publications

    (注:代表通讯作者; # 代表指导的学生)

    [55] Wang Naiyu#, Meng Qiang, and Zhang Canrong*. A branch-price-and-cut algorithm for the local container drayage problem with controllable vehicle interference. Transportation Research Part B: Methodological, 2023, forthcoming.

    [54] Wang Chong#, Miao Lixin, Zhang Canrong*, Wu Tao, and Liang Zhe. Robust Optimization for the Integrated Berth Allocation and Quay Crane Assignment Problem. Naval Research Logistics, 2023, forthcoming.

    [53] Hao Xinye#, Liu Changchun, Liu Maoqi, Zhang Canrong, and Zheng Li*. Solving  a Real-world Large-scale Cutting Stock Problem: A Clustering-assignment-based Model. IISE Transactions, November 2023, 55(11): 1160-1173.

    [52] Zhang Canrong*, Wang Qi, and Yuan Guoping. Novel models and algorithms for location assignment for outbound containers in container terminals. European Journal of Operational Research, July 2023, 308(2): 722-737.

    [51] Xia Yang#, Zeng Wenjia, Zhang Canrong*, and Yang Hai.  A branch-and-price-and-cut algorithm for the vehicle routing problem with load-dependent drones. Transportation Research Part B: Methodological, May 2023, 171: 80-110.

    [50] Wu Tao, Zhang Canrong*, Chen Weiwei, Liang Zhe, and Zhang Xiaoning. Unsupervised Learning-driven Matheuristic for Production-distribution Problems. Transportation Science, November-December 2022, 56(6): 1677-1702.

    [49] Wang Mengtong#Zhang Canrong*, Bell Michael, and Miao Lixin. A Branch-and-Price Algorithm for Location-Routing Problems with Pick-Up Stations in the Last-Mile Distribution System, European Journal of Operational Research, December 2022, 303(3): 1258-1276.

    [48] Hao Xinye#, Zheng Li, Li Na, and Zhang Canrong*. The integrated bin packing and lot-sizing problem considering the configuration-dependent bin packing process. European Journal of Operational Research, December 2022, 303(2): 581-592.

    [47] Wu Tao, Huang Le, Liang Zhe, Zhang Xiaoning, and Zhang Canrong. A Supervised Learning-Driven Heuristic for Solving the Facility Location and Production Planning Problem, European Journal of Operational Research, September 2022, 301(2): 785-796.

    [46] Duan Hongda#, Miao Lixin, and Zhang Canrong*. A Semi-supervised Deep Learning Approach for Vessel Trajectory Classification Based on AIS Data, Ocean and Coastal Management, March 2022, 218: 106015.

    [45] Wang Mengtong#, Miao Lixin, and Zhang Canrong*. A Branch-and-Price Algorithm for a Green Location Routing Problem with Multi-Type Charging Infrastructure, Transportation Research Part E: Logistics and Transportation Review, December 2021, 156: 1-30.

    [44] Li Xiaowen#, Yang Xiuqing, Zhang Canrong, and Qi Mingyao*. A simulation study on the robotic mobile fulfillment system in high-density storage warehouses, Simulation Modelling Practice and Theory, November 2021, 112:1-17.

    [43] Duan Guofang, Zhang Canrong, Gonzalez Priscila, and Qi Mingyao*. Performance evaluation for Robotic Mobile Fulfillment Systems with time-varying arrivals. Computers & Industrial Engineering, August 2021, 158: 1-22.

    [42] Zhang Canrong, Zhang Dandan, and Wu Tao* Data-driven Branching and Selection for Lot-sizing and Scheduling Problems with Sequence-dependent Setups and Setup Carryover. Computers & Operations Research, August 2021, 132: 1-16.

    [41] Yu Lina, Zhang Canrong, Jiang Jingyan, Yang Huasheng*, and Shang Huayan. Reinforcement learning approach for resource allocation in humanitarian logistics. Expert Systems with Applications, July 2021, 173: 1-14.

    [40] Li Na, Li Xiaorui, Zhang Canrongand Kong Nan. Integrated Optimization of Appointment Allocation and Access Prioritization in Patient-Centred Outpatient Scheduling. Computers & Industrial Engineering, April 2021, 154: 1-10.

    [39] Wu Tao, Shi Zhongshun, and Zhang Canrong*. The hub location problem with market selection. Computers & Operations Research, March 2021, 127: 1-13.

    [38] You Jintao#Zhang Canrong, Xue Zhaojie, Miao Lixin, and Ye Bin. A bi-objective model for robust local container drayage problem. RAIRO - Operations Research, March 2021, 55: 625-646.

    [37] Wu Tao, Shi Zhongshun, Liang Zhe, Zhang Xiaoning, and Zhang Canrong*. Dantzig-Wolfe Decomposition for the Facility Location and Production Planning Problem. Computers & Operations Research, December 2020, 124: 1-19.

    [36] Zhang Canrong, Guan Hao, Yuan Yifei, Chen Weiwei, and Wu Tao. Machine learning-driven algorithms for the container relocation problem. Transportation Research Part B: Methodological, September 2020, 139: 102-131.

    [35] Wei Mingyuan#, Guan Hao, Liu Yunhan, Gao Benhe, and Zhang Canrong*. Production, Replenishment and Inventory Policies for Perishable Products in a Two-echelon Distribution Network. Sustainability, June 2020, 12(11): 1-26.

    [34] You Jintao#, Miao Lixin, Zhang Canrong*, and Xue Zhaojie. A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, March 2020, 113: 181-209.

    [33] Xie Fanrui#, Wu Tao, and Zhang Canrong*. A Branch-and-Price Algorithm for the Integrated Berth Allocation and Quay Crane Assignment Problem. Transportation Science, September-October 2019, 53(5): 1427-1454.

    [32] Wu Tao, Xiao Fan, Zhang Canrong, Zhang Defu, and Liang Zhe. Regression and Extrapolation Guided Optimization for Production-Distribution with Ship-Buy-Exchange Options. Transportation Research Part E: Logistics and Transportation Review, September 2019, 129: 15-37.

    [31] Wei Mingyuan#, Qi Mingyao, Wu Tao, and Zhang Canrong*. Distance and Matching-Induced Search Algorithm for the Multi-level Lot-Sizing Problem with Substitutable Bill of materials. European Journal of Operational Research, September 2019, 277(2): 521-541.

    [30] Yu Lina#, Yang Huasheng, Miao Lixin, and Zhang Canrong*. Rollout Algorithms for Resource Allocation in Humanitarian Logistics. IISE Transactions, August 2019, 51(8):887-909.

    [29] Wang Zujian#, Qi Mingyao, Cheng Chun, and Zhang Canrong. A hybrid algorithm for large-scale service network design considering a heterogeneous fleet. European Journal of Operational Research, July 2019, 276(2): 521-541.

    [28] Liu Changchun#, Xiang Xi, Zhang Canrong, Wang Qiang, and Zheng Li.  A column generation based distributed scheduling algorithm for multi-mode resource constrained project scheduling problem. Computers & Industrial Engineering, November 2018, 125: 258-278.

    [27] Qi Mingyao, Li Xiaowen, Yan Xuejun, and Zhang Canrong*. On the evaluation of AGVS-based warehouse operation performance. Simulation Modelling Practice and Theory, September 2018, 87: 379-394.

    [26] Wu Tao, Xiao Fan, Zhang Canrong, He Yan, and Liang Zhe. The green capacitated multi-item lot sizing problem with parallel machines. Computers & Operations Research, October 2018, 98: 149-164.

    [25] Wu Tao, Liang Zhe, and Zhang Canrong. Analytics Branching and Selection for the Capacitated Multi-Item Lot Sizing Problem with Non-Identical Machines. INFORMS Journal on Computing, Spring 2018, 30(2): 236-258.

    [24] Zhang Canrong, Wu Tao, Qi Mingyao, and Miao Lixin. Simultaneous Allocation of Berths and Quay Cranes under Discrete Berth Situation. Asia-Pacific Journal of Operational Research, June 2018, 35(3): 1-28.

    [23] Yu Lina#Zhang Canrong, Yang Huasheng, and Miao Lixin. Novel Methods for Resource Allocation in Humanitarian Logistics Considering Human Suffering. Computers & Industrial Engineering, May 2018, 119: 1-20.

    [22] Zhang Canrong, Xie Fanrui, Huang Kun, Wu Tao, and Liang Zhe. MIP Models and a Hybrid Method for the Capacitated Air-cargo Network Planning and Scheduling Problems. Transportation Research Part E: Logistics and Transportation Review, July 2017, 103: 158-173.

    [21] Yang Huasheng#, Low Vincent, Zhang Canrong*, Zheng Li, and Miao Lixin. Behavior perception-based disruption models for the parallel machine capacitated lot-sizing and scheduling problem. International Journal of Production Research, 2017, 55(11): 3058-3072.

    [20] Liu Changchun#Zhang Canrong, and Zheng Li. A Bi-objective Model for Robust Yard Allocation Scheduling for Outbound Containers. Engineering Optimization, 2017, 49(1): 113-135.

    [19] Liu Changchun#, Xiang Xi, Zhang Canrong, and Zheng Li. A Decision Model for Berth Allocation Under Uncertainty Considering Service Level Using an Adaptive Differential Evolution Algorithm. Asia-Pacific Journal of Operational Research, December 2016, 33(6): 1-28.

    [18] Liu Changchun#, Zheng Li, and Zhang Canrong*. Behavior perception-based disruption models for berth allocation and quay crane assignment problems. Computers & Industrial Engineering, July 2016, 97: 258-275.

    [17] He Yan, Wu Tao, Zhang Canrong, and Liang Zhe. An improved MIP heuristic for the intermodal hub location problem. Omega - International Journal of Management Science, December 2015, 57, Part B: 203-211.

    [16] Liang Zhe, He Yan, Wu Tao, and Zhang Canrong*. An informative column generation and decomposition method for a product on planning and facility location problem. International Journal of Production Economics, December 2015, 170, Part A: 88-96.

    [15] Xiao Jing#, Yang Huasheng, Zhang Canrong, Zheng Li, and Gupta Jatinder N. D. A Hybrid Lagrangian-Simulated Annealing-based heuristic for the parallel-machine capacitated lot-sizing and scheduling problem with sequence-dependent setup times. Computers & Operations Research, November 2015, 63:72-82.

    [14] Xue Zhaojie#, Lin Wei-Hua, Miao Lixin, and Zhang Canrong. Local container drayage problem with tractor and trailer operating in separable mode. Flexible Services and Manufacturing Journal, September 2015, 27(2-3): 431-450.

    [13] Xue Zhaojie#Zhang Canrong, Yang Peng, and Miao Lixin. A Combinatorial Benders' Cuts Algorithm for the Local Container Drayage Problem. Mathematical Problems in Engineering, 2015.

    [12] Zhang Canrong, Wu Tao, Zhong Ming, Zheng Li, and Miao Lixin. Location Assignment for Outbound Containers with Adjusted Weight Proportion. Computers & Operations Research, December 2014, 52, Part A: 84-93.

    [11] Zhang Canrong, Wu Tao, Kim Kap Hwan, and Miao Lixin. Conservative Allocation Models for Outbound Containers in Container Terminals. European Journal of Operational Research, October 2014, 238(1): 155-165.

    [10] Xue Zhaojie#Zhang Canrong, Lin Wei-Hua, Miao Lixin, and Yang Peng. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review, February 2014, 62: 136-150.

    [9] Lin Jiahong#, Gao Benhe, and Zhang Canrong. Simulation-based investment planning for Humen Port. Simulation Modelling Practice and Theory, January 2014, 40: 161-175.

    [8] Xiao Jing#Zhang Canrong, Zheng Li, and Gupta Jatinder N. D. MIP-based fix-and-optimize algorithms for the parallel machine capacitated lot-sizing and scheduling problem. International Journal of Production Research, August 2013, 51(16): 5011-5028.

    [7] Wu Tao, Zhang Canrong, Zhe Liang, and Leung Stephen C. H. A Lagrangian Relaxation-based Heuristic and Models Evaluation for Multi-level Lot Sizing Problems with Backorders. Computers & Operations Research, July 2013, 40(7): 1852-1863.

    [6]Zhang Canrong, Wu Tao, Zheng Li, and Miao Lixin. A Lagrangian Relaxation-based Algorithm for the Allocation of Yard Cranes for Yard Activities with Different Priorities. Journal of Systems Science and Systems Engineering, June 2013, 22(2): 227-252.

    [5] Xue Zhaojie#Zhang Canrong, Miao Lixin, and Lin Wei-Hua. An Ant Colony Algorithm for Yard Truck Scheduling and Yard Location Assignment Problems with Precedence Constraints. Journal of Systems Science and Systems Engineering, March 2013, 22(1): 21-37.

    [4] Zhang Canrong* and Chen Weiwei. A note on ‘A new dynamic programming formulation of (n×m) flowshop sequencing problems with due dates’. International Journal of Production Research, 2012, 50(16): 4631-4634.

    [3] Zhang Canrong*, Zhang Zhihai, Zheng Li, and Miao Lixin. A decision support system for the allocation of yard cranes and blocks in container terminals. Asia-Pacific Journal of Operational Research, December 2011, 28(6): 803-829.

    [2] Zhang Canrong, Chen Weiwei, Shi Leyuan, and Zheng Li. A note on deriving decision rules to locate export containers in container yards. European Journal of Operational Research, September 2010, 205(2): 483-485.

    [1] Zhang Canrong, Zheng Li, Zhang Zhihai, Shi Leyuan, and Armstrong Aaron. The allocation of berths and quay cranes by using a sub-gradient optimization technique. Computers & Industrial Engineering, February 2010, 58(1): 40-50.




  • Awards and Honors


    Guangdong Province Natural Science Foundation for Distinguished Young Scholars, 2020

    High-level Professional, Shenzhen Municipality, 2017

    Oversea High-caliber Personnel, Shenzhen Municipality, 2014

    NSK Sino-Japan Friendship Outstanding Paper, NSK-Tsinghua University, 2010

    Best Paper Award, IEEE International Conference on Automation and Logistics, 2007



    Annual Award for Teaching Excellence, Tsinghua University, 2018

    Inaugural Annual Award for Teaching Excellence, Tsinghua University, 2017

    Inaugural Award for Mentoring Excellence, Graduate School at Shenzhen, 2013.