Qi Mingyao
Associate Professor

Professional Experience & Education

Dr. Qi joined GSST in August 2006 as an Assistant Professor. He was appointed to the position of Associate Professor in 2009, and has served as a Ph.D. advisor since 2013. Currently, Dr. Qi also serves as deputy director of GSST's Modern Logistics research institute.

Prior to joining GSST, Dr. Qi received his Ph.D. in Geographic Information Systems in 2004 from the Chinese Academy of Sciences' Institute of of Geographic Science and Natural Resources Research.

Instruction & Advising

Current Courses:

    Management Information Systems; Logistics Information Technology; Geographic Information Systems for Logistics

Master's & Ph.D. Advising:

    Optimization in the field of logistics



    Modeling, Optimization, Simulation and Information Management of Logistics Systems, including service network design, vehicle routing, warehouse planning and operation, logistics robotics, and logistics data analytics. Methodologies of interest include mixed integer programming, stochastic programming, robust programming, metaheuristics, and matheuristics.

Current Projects:

  • Robust optimization of service network considering system resilience (NSFC grant # 71772100);

  • The architecture of collaborative regional remote sensing technical service (National Key Technologies Research and Development Program grant #2016YFB0502601);

  • The key technologies of the terminal delivery logistics robot (Shenzhen Science and Technology Project grant # JCYJ20170412171044606);

  • optimization of the mobile robotic fulfillment system (from industry);

  • O2O order delivery dispatching algorithm (from industry).

Additional Positions

Reviewer for: Transportation Research Part B, Part E. European Journal of Operational Research, International Journal of Production Economics, International Journal of Production Research, Computers & Industrial Engineering, Transportation Research Board.

International Scientific Committee member: International Conference on Transportation and Logistics.

  1. Chun Cheng, Mingyao Qi*, Ying Zhang, Louis-Martin Rousseau. A Two-Stage Robust Approach for the Reliable Logistics Network Design Problem. Transportation Research Part B: Methodological, 2018, 111(2018):185-202.

  2. Mingyao Qi, Xiaowen Li, Xuejun Yan, Canrong Zhang. On the evaluation of AGVS-based warehouse operation performance. Simulation Modelling Practice and Theory, 2018, 87(2018):379-394.

  3. Canrong Zhang, Tao Wu, Mingyao Qi*, Lixin Miao. Simultaneous Allocation of Berth and Quay Cranes under Discrete Berth Simulation. Asia-Pacific Journal of Operational Reseach, 2018, 35(3): 1-28.

  4. Mingyao Qi*, Mingfei Xia, Ying Zhang, Lixin Miao. Competitive facility location problem with foresight considering service distance limitations. Computers & Industrial Engineering, 2017, 112:483-491.

  5. Yang, Peng; Yang, Kaidong; Qi, Mingyao*; Miao, Lixin; Ye, Bin. Designing the optimal multi-deep AS/RS storage rack under full turnover-based storage policy based on non-approximate speed model of S/R machine. Transportation Research Part E: Logistics and Transportation Review, 2017, 104: 113-130

  6. Chun Cheng, Peng Yang, Mingyao Qi*, Louis-Martin Rousseau. Modeling a green inventory routing problem with a heterogeneous fleet. Transportation Research Part E: Logistics and Transportation Review, 2017, 97:97-112.

  7. Chun Cheng, Mingyao Qi*, Xingyi Wang, Ying Zhang. Multi-period inventory routing problem under carbon emission regulations. International Journal of Production Economics, 2016, 182: 263-275.

  8. Mingyao Qi, Cheng Peng, Xiaoyu Huang. A General Metaheuristic Algorithm for a Set of Rich Vehicle Routing Problems. Transportation Research Record: Journal of the Transportation Research Board, 2016, 2548: 97-106.

  9. Zujian Wang, Mingyao Qi*, Yu Yang. A Branch-and-Price Algorithm for Service Network Design with Heterogeneous Vehicles. The 6th T-Log International Conference, Taiwan, Sep. 7-9, 2016.

  10. Zujian Wang, Mingyao Qi*. Formulation of Service Network Design with Time Requirements to Schedule Heterogeneous Fleet. Proceedings of The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, Dec. 4-7 2016: 80-83.

  11. Ying Zhang, Lawrence V. Snyder, Mingyao Qi, Lixin Miao. A Heterogeneous Reliable Location Model with Risk Pooling under Supply Disruptions. Transportation Research Part B: Methodological, 83 (2016) 151–178.

  12. Ying Zhang, Mingyao Qi*, Wei-Hua Lin, Lixin Miao. A metaheuristic approach to the reliable location routing problem under disruptions. Transportation Research Part E: Logistics and Transportation Review, 2015, 83:90-110.

  13. Hsieh P S, Lin W H, Qi M, et al. Investigating Surrogate Point-Based Modeling Approach for Covering Continuous Spatial Demand[C]// Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on. IEEE, 2015.

  14. Zhang Y, Qi M*, Miao L, et al. A generalized multi-depot vehicle routing problem with replenishment based on LocalSolver [J]. International Journal of Industrial Engineering Computations, 2015, 6(1):81-98.

  15. Qi M, Xia M, Miao L, et al. Competitive Facility Location Problem with Foresight in Discrete Space based on Tabu Search[C]// 2015 International Conference on Computer Science and Intelligent Communication. Atlantis Press, 2015.

  16. Huang X, Qi M*, Zhang Y, et al. A novel k-Combination First-Fit Algorithm for Three-dimensional Knapsack Packing Problem[C]// 5th International Symposium on Knowledge Acquisition and Modeling (KAM 2015). Atlantis Press, 2015.

  17. Ying Zhang, Mingyao Qi, Lixin Miao, Erchao Liu. Hybrid metaheuristic solutions to inventory location routing problem. Transportation Research Part E: Logistics and Transportation Review, 2014, 70:305-323

  18. Chao Lei, Weihua Lin, Lixin Miao, Mingyao Qi*. Stochastic Mobile Facility Routing and Scheduling Problem. Proceedings of 16th International IEEE Conference on Intelligent Transportation Systems, 2013, HAGUE, Netherlands, 1823–1828. (EI)

  19. Wenwei Rao, Mingyao Qi*. Mobile Facility Routing Problem with Service-time- related demands. Proc. of the Transportation Logistics International Conference (T-LOG2014), 2014, Thailand.

  20. Mingyao Qi, Ying Zhang, Jinjin Zhang, Lixin Miao A New Two-phase Hybrid Metaheuristic for Vehicle Routing Problem with Time Windows, Journal of the Eastern Asia Society for Transportation Studies, 2013(10): 880-896

  21. Mingyao Qi,Wei-Hua Lin, Nan Li, Lixin Miao. A Spatiotemporal Partitioning Approach for Large-scale Vehicle Routing Problems with Time Windows,Transportation Research: Part E, 2012, 48:248-257.

  22. Mingyao Qi, Qi Luo, Li Zhang. A Metaheuristic Algorithm for Vehicle Routing Problem with Three-dimensional Loading Constraints. Proceedings of T-LOG2012, Busan, Korea.

Outstanding Reviewer 2014-2015: Transportation Research Part E

Best paper award:  2014 International Conference on Transportation and Logistics