Yantong Li

Associate Professor

School of Maritime Economics and Management

Dalian Maritime University

No. 1 Linghai Rd, Dalian 116026, China

Email: yantong.li@dlmu.edu.cn

Web: http://sites.google.com/view/yantongli

About Me

Education Experiences:

2015.2 ~ 2019.1: University of Paris Saclay, Ph.D. degree in Automation, Evry, France
2011.9 ~ 2013.12: Military Transportation University, Master degree in Transportation Planning and Management, Tianjin, China
2007.9 ~ 2011.7: Beijing Jiaotong University, Bachelor degree in Traffic and Transportation, Beijing, China

Working Experiences:

2021.3 ~ to date: Dalian Maritime University, Associate Professor, Dalian, China
2019.2 ~ 2021.2: Academy of Military Science, Research Assistant Professor, Beijing, China
2017.11 ~ 2018.3: University of Laval, Visiting student, Quebec city, Canada

Research Interests

Operations Research: Integer programming and mathematical programming-based methods.
Transportation and Logistics: models and algorithms development.
Scheduling: applications in manufacturing systems and healthcare systems.

Publications

1. Li, Y., Côté, J.F., Coelho, L.C. & Wu P. (2021). Novel Formulations and Logic-based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem. INFORMS Journal on Computing. 34(2), pp.1048-1069 [Link][DATA]

2. Li, Y., Côté, J.F., Coelho, L.C. & Wu P. (2021). Novel efficient formulation and matheuristic for large-sized unrelated parallel machine scheduling with release dates. International Journal of Production Research.60(20), 6104-6123 [Link][DATA]

3. Li, Y., Chu, F., Côté, J.F., Coelho, L.C. and Chu, C., (2020). The multi-plant perishable food production routing with packaging consideration. International Journal of Production Economics, p.107472. [Link] [DATA ]

4. Li, Y., Chu, F., Chu, C. and Zhu, Z., (2019). An efficient three-level heuristic for the large- scaled multi-product production routing problem with outsourcing. European Journal of Operational Research, 272(3), pp.914-927. [Link] [DATA ]

5. Li, Y., Chu, F., Feng, C., Chu, C., & Zhou, M. (2018). Integrated production inventory routing planning for intelligent food logistics systems. IEEE Transactions on Intelligent Transportation Systems, 20(3), 867-878. [Link]

6. Li, Y., Li, Y., Cheng, J., & Wu P.*(2022). Order Assignment and Scheduling for Personal Protective Equipment Production during the Outbreak of Epidemics. IEEE Transactions on Automation Science and Engineering, 19(2), pp.692-708 [Link].

7. Zhang, C., Li, Y.*, Cao, J., Wen, X. (2022). On the Mass COVID-19 Vaccination Scheduling Problem. Computers & Operations Research. 141, pp.105704 [Link][DATA]

8. Tang, L., Li, Y.*, Bai, D., Liu, T., Coelho, L.C. (2022). Bi-objective Optimization for a Multi-period COVID-19 Vaccination Planning Problem . Omega. 110,pp.102617 [Link][DATA]

9. Li, Y.*, Côté, J.F., Coelho, L.C., Zhang C., Zhang S. (2023). Order Assignment and Scheduling under Processing and Distribution Time Uncertainty. European Journal of Operational Research. 305(1). 148-163.

10. Li, Y.*, X. Wen, TM. Choi, SH. Chung. (2022). Optimal Establishments of Massive Testing Programs to Combat COVID-19: A Perspective of Parallel-Machine Scheduling-Location (ScheLoc) Problem. IEEE Transactions on Engineering Management . Early Access .

11. Li, Y.*, Sai-Ho Chung, Xin Wen , Shanshan Zhou . (2023). Towards the sustainable economy through digital technology: A drone-aided after-sales service scheduling model . Applied Soft Computing. 138, 110202.

12. Li, Y.*, Y Li, L Tang, D Bai, LC Coelho . (2024). Profit maximization through integrated order acceptance and scheduling: A metaheuristic approach . Applied Soft Computing. Accepted for publication.

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