Qi Mingyao

Professional History：Dr. Qi joined Shenzhen International Graduate School (SIGS) in August 2006 as an assistant professor. He was appointed to the position of professor in 2022, and has served as a Ph.D. advisor since 2013. Currently, Dr. Qi also serves as the deputy director of the SIGS Modern Logistics Research Institute.

Education：Dr. Qi received his Ph.D. in Geographic Information System in 2004 from Chinese Academy of Sciences’ Institute of Geographic Sciences and Natural Resources Research.

• 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.

• Co-president and International Scientific Committee member: International Conference on Transportation and Logistics.

• Analysis and Optimization on Logistics System;

• Distribution Systems Modeling and Analysis;

• Management Information System;

• Logistics Information Technology;

• Geographic Information System for Logistics

Optimization in the field of logistics and Transportation

1. Applications: 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.

2. Methodologies of interest: Mixed-integer programming; nonlinear programming; stochastic programming; robust optimization; metaheuristics; machine learning.

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  Robust optimization of service network considering system resilience (NSFC);

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

  Key technologies of the logistics robot for terminal delivery (Shenzhen Science and Technology Project);

  Optimization of the robotic warehouse systems (from industry);

  Multi-robot task assignment and conflict-free routing systems (from industry);

  Airport terminal operations research (from industry);

  Scheduling of the Last-mile delivery (from industry);

  Real-time scheduling algorithms for O2O order delivery (from industry).

  
  

[1] Mingyao Qi, Ruiwei Jiang, Siqian Shen*. Sequential Competitive Facility Location: Exact and Approximate Algorithms, Operations Research, 2024, 72(1), 300-316.

[2] Xin Wang, Ruiwei Jiang, Mingyao Qi*. A Robust Optimization Problem for Drone-based Equitable Pandemic Vaccine Distribution with Uncertain Supply. Omega, 2023, 119, 102872.

[3] Mingyao Qi*, Xinru Hao, Meng Yuan. An Optimal Layout Pattern-Based Solution Approach to the Extended Machine Layout Problem With Multirow Multicolumn Structure, IEEE Transactions on Automation Science and Engineering, 2022,20(2), 1408-1428.

[4] Jing He, Xinglu Liu, Qiyao Duan, Wai Kin Victor Chan, Mingyao Qi*. Reinforcement learning for multi-item retrieval in the puzzle-based storage system. European Journal of Operational Research, 2023, 305 (2), 820-837.

[5] Shijia Hua, Wenjia Zeng, Xinglu Liu, Mingyao Qi*. Optimality-guaranteed algorithms on the dynamic shared-taxi problem. Transportation Research Part E: Logistics and Transportation Review, 2022, 164, 102809.

[6] Bingqian Wang, Xiuqing Yang, Mingyao Qi*. Order and rack sequencing in a robotic mobile fulfillment system with multiple picking stations. Flexible Services and Manufacturing Journal, 2022, 1-39.

[7] Yongsen Zang, Meiqin Wang, Mingyao Qi*. A column generation tailored to electric vehicle routing problem with nonlinear battery depreciation. Computers & Operations Research, 137(2022): 105527.

[8] Xiaowen Li, Xiuqing Yang, Canrong Zhang, Mingyao Qi*. A simulation study on the robotic mobile fulfillment system in high-density storage warehouses. Simulation Modelling Practice and Theory, 112 (2021): 102366.

[9] Guofang Duan, Canrong Zhang, Priscila Gonzalez, Mingyao Qi. Performance evaluation for Robotic Mobile Fulfillment Systems with time-varying arrivals. Computers & Industrial Engineering, 158 (2021): 107365.

[10] Zujian Wang, Mingyao Qi*. Robust service network design under demand uncertainty. Transportation Science, 2020, 54 (3), 676-689.

[11] Zujian Wang, Mingyao Qi*, Chun Cheng, Canrong Zhang. A hybrid algorithm for large-scale service network design considering a heterogeneous fleet. European Journal of Operational Research, 2019, 276(2): 483-494.

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

[13] Zujian Wang, Mingyao Qi*. Service network design considering multiple types of services, Transportation Research Part E: Logistics and Transportation Review, 2019, 126:1-14.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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

[19] 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.

[20] 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.

[21] 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.

[22] 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.

[23] 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.

[24] Ying Zhang, MingyaoQi*, Lixin Miao, 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.

[25] 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

[26] 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

[27] 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: Logistics and Transportation Review, 2012, 48:248-257.

Refereed Conference Proceedings (selected)

[1] Shijia Hua,Mingyao Qi*. An Adaptive Large Neighborhood Search Heuristic for Dynamic Ridesharing Problem. 2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019, p 888-892, May 14, 2019.

[2]Lijuan Feng,Mingyao Qi*, Shijia Hua, Qingte Zhou. Picking Station Location in Traditional and Flying-V Aisle Warehouses for Robotic Mobile Fulfillment System. IEEE International Conference on Industrial Engineering and Engineering Management, v 2019-December, p 1436-1440, July 2, 2018.

[3]Mingyao Qi*; Wangqi Xiong; Qingte Zhou; Shijia Hua. Robust Periodic Vehicle Routing Problem with Service Time Uncertainty. IEEE International Conference on Industrial Engineering and Engineering Management, v 2019-December, p 1431-1435, July 2, 2018.

[4]Xinru Hao,Mingyao Qi*. Solving Unequal-Area Facility Layout Problems with Orbits in Fully Automatic System. IEEE International Conference on Automation Science and Engineering, v 2018-August, p 1183-1188, December 4, 2018.

[5]Xiaowen Li, Canrong Zhang, Wenming Yang, Mingyao Qi*. Multi-AGVs Conflict-Free Routing and Dynamic Dispatching Strategies for Automated Warehouses. iCatse International Conference on Mobile and Wireless Technology, ICMWT 2018.

[6]Bijun Li, Mingyao Qi, Kai Zhang, Bokui Chen*, Yi Zhang, Jun Zhou, Lixin Miao. Landmark-Based Visual Positioning System for Automatic Guided Vehicle. Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals, p 438-447, 2018, CICTP 2018.

[7]Xinglu Liu, Mingyao Qi*, Chun Cheng. Green vehicle routing problem with path flexibility. IEEE International Conference on Industrial Engineering and Engineering Management, v 2017-December, p 1037-1041, February 9, 2018.

[8]Binbin Liu, Fei Wang, Xiaocui Zheng, Miangyao Qi. Suggestions for formulating collaborative remote sensing emergency plan based on case studies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v 42, n 2W7, p 77-81, September 12, 2017.

[9]Mingyao Qi*, Chun Cheng, Xin Wang, Wenwei Rao. Mobile facility routing problem with service-time-related demand. 2017, 14th International Conference on Services Systems and Services Management, ICSSSM 2017 – Proceedings.

[10]Xuejun Yan, Canrong Zhang,Mingyao Qi*. Multi-AGVs Collision-Avoidance and Deadlock-Control for Item-To-Human Automated Warehouse. 2017, 2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017.

[11]Mingyao Qi, Zu-Jian Wang, Zi-Li Wu, Qi Luo. A two-level algorithm for capacitated vehicle routing problem with three-dimensional loading constraints. Source: CIE 2016: 46th International Conferences on Computers and Industrial Engineering, 2016.

[12]Rui Li, Chun Cheng, Mingyao Qi*, Weiwei Lai. Design of dynamic vehicle routing system based on online map service. 2016 13th International Conference on Service Systems and Service Management, ICSSSM 2016.

[13]Weiwei Lai, Rui Li, Lilan Xie,Mingyao Qi*. The vehicle routing for power grid material distribution: A case study in China. 2016 13th International Conference on Service Systems and Service Management, ICSSSM 2016.

[14]Jinbo Chen, Mingyao Qi*, Lixin Miao. The Electric Vehicle Routing Problem with Time Windows and Battery Swapping Stations. 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016.

[15]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.

[16]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.

[17]HsiehP S, Lin W H*, Mingyao Qi, 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.

[18]Mingyao Qi*, Mingfei Xia, Lixin Miao, 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.

[19]Xiaoyu Huang, Mingyao Qi*, Ying Zhang, 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.

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

[21]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）

[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.

Editorial Experience：

[1]Editorial Board Member for Transportation Research Part E.

[2]Co-president and International Scientific Committee member for International Conference on Transportation and Logistics.

[3]Reviewer for: Transportation Research Part B, Part E, Manufacturing and Service Operations Management, European Journal of Operational Research, International Journal of Production Economics, Networks, International Journal of Production Research, Computers & Industrial Engineering, Transportation Research Board, etc.

• Outstanding paper award:2021 IEEE IEEM Conference

• Most cited papers (2019): 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.

  Outstanding Reviewer 2014-2015: Transportation Research Part E

  Best paper award:2014 International Conference on Transportation and Logistics