Home > By Name > By Department > Management Science > LIU Ming
LIU Ming
LIU Ming

Associate Professor

Department: Management Science and Engineering

021-65983943

mingliu@tongji.edu.cn

 

  • 2014-2015: Visiting Scholar, Hong Kong University of Science & Technology
  • 2007/11-2009/12:PhD, Ecole Centrale De Paris, France
  • 2005-2010: Ph.D, Xi'an Jiaotong University
  • 2001-2005: Bachelor, Xi'an Jiaotong University

Teaching Positions

  • 2010-Now: School of Economics and Management, Tongji University

RESEARCH FIELD

  • Supply chain management
  • Scheduling
  • Transportation
  • Logistics
  • Airline Planning

TEACHING INTERESTS

  • Operations Management
  • Applied Statistics

RESEARCH

Sponsored Research Projects

  • Optimization Study of Supply Chain Resilience Enhancement Decision Making under Ripple Effect, National Natural Science Foundation of China, 2025.
  • Research on multi resource hybrid production scheduling optimization considering personnel skill matching, National Natural Science Foundation of China, 2021.
  • Scheduling and Planning for Shanghai Yangshan Container Terminal, Shanghai Pujiang program, 2016.
  • Online Scheduling with Deterioration Effects, National Natural Science Foundation of China, 2012.

Selected Publications

Papers

  • Liu, M., Liu, Z., Chu, F., Zheng, F., & Dolgui, A. (2025). Dynamic structural adaptation for building viable supply chains under super disruption events. Transportation Research Part B: Methodological, 195, 103190.
  • Liu, M., Ding, Y., Chu, F., Dolgui, A., & Zheng, F. (2024). Robust actions for improving supply chain resilience and viability. Omega, 123, 102972.
  • Liu, M., Tang, H., Chu, F., Ding, Y., Zheng, F., & Chu, C. (2024). A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network. Computers & Operations Research, 161, 106422.
  • Liu, M., Lin, T., Chu, F., Ding, Y., Zheng, F., & Chu, C. (2023). Bi-objective optimization for supply chain ripple effect management under disruption risks with supplier actions. International Journal of Production Economics, 265, 108997.
  • Liu, M., Liu, Z., Chu, F., Dolgui, A., Chu, C., & Zheng, F. (2022). An optimization approach for multi-echelon supply chain viability with disruption risk minimization. Omega, 112, 102683.
  • Liu, M., Tang, H., Chu, F., Zheng, F., & Chu, C. (2022). Joint optimization of lot-sizing and pricing with backlogging. Computers & Industrial Engineering, 167, 107979.
  • Liu, M., Liu, Z., Chu, F., Liu, R., Zheng, F., & Chu, C. (2022). Risk-averse assembly line worker assignment and balancing problem with limited temporary workers and moving workers. International Journal of Production Research, 60(23), 7074-7092.
  • Liu, M., Liu, Z., Chu, F., Zheng, F., & Chu, C. (2021). A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect. International Journal of Production Research, 59(1), 265-285.
  • Liu, M., Liu, X., Chu, F., Zheng, F., & Chu, C. (2021). An exact method for disassembly line balancing problem with limited distributional information. International Journal of Production Research, 59(3), 665-682.
  • Liu, M., Liu, X., Chu, F., Zheng, F., & Chu, C. (2020). Robust disassembly line balancing with ambiguous task processing times. International Journal of Production Research, 58(19), 5806-5835.
  • Liu, M., Yang, X., Chu, F., Zhang, J., & Chu, C. (2020). Energy-oriented bi-objective optimization for the tempered glass scheduling. Omega, 90, 101995.
  • Liu, M., Liu, X., Chu, F., Zheng, F., & Chu, C. (2019). Distributionally robust inventory routing problem to maximize the service level under limited budget. Transportation Research Part E: Logistics and Transportation Review, 126, 190-211.
  • Liu, M., Chu, F., He, J., Yang, D., & Chu, C. (2019). Coke production scheduling problem: A parallel machine scheduling with batch preprocessings and location-dependent processing times. Computers & Operations Research, 104, 37-48.
  • Liu, M., Liu, X., Zhang, E., Chu, F., & Chu, C. (2019). Scenario-based heuristic to two-stage stochastic program for the parallel machine ScheLoc problem. International Journal of Production Research, 57(6), 1706-1723.
  • Liu, M., Wang, S., Zheng, F., & Chu, C. (2017). Algorithms for the joint multitasking scheduling and common due date assignment problem. International Journal of Production Research, 55(20), 6052-6066.
  • Liu, M., Lee, C. Y., Zhang, Z., & Chu, C. (2016). Bi-objective optimization for the container terminal integrated planning. Transportation Research Part B: Methodological, 93, 720-749.
  • Liu, M., Wang, S., Chu, C., & Chu, F. (2016). An improved exact algorithm for single-machine scheduling to minimise the number of tardy jobs with periodic maintenance. International Journal of Production Research, 54(12), 3591-3602.
  • Liu, M., Chu, F., Zhang, Z., & Chu, C. (2015). A polynomial-time heuristic for the quay crane double-cycling problem with internal-reshuffling operations. Transportation Research Part E: Logistics and Transportation Review, 81, 52-74.
  • Lee, C. Y., Liu, M.*, & Chu, C. (2015). Optimal algorithm for the general quay crane double-cycling problem. Transportation science, 49(4), 957-967.
  • 12/2017 TPC member, 5th Annual International Conference on Material Science and Environmental Engineering (MSEE2017).
  • 07/2017 TPC member, The 2nd Annual International Conference on Information System and Arti cial Intelligence (ISAI2017).
  • 06/2015 The Best Paper Award: 2015 International Conference on Service Systems and Service Management (IEEE ICSSSM 2015).
  • 03/2014 Nomination for National 100 Excellent Doctoral Dissertation.
  • 07/2010 Best Dissertation for Ph.D. Degree, Shannxi Province, China.
X Thank you for your interest in Master of Global Management, Tongji University!