INTRODUCTION

Dr. Yongji Jia is an associate professor in the Glorious Sun School of Business and Management of Donghua University. He is the doctor of Engineering from School of Electronic Information and Electrical Engineering of Shanghai Jiao Tong University. He visited Carleton University and University of Alberta, and hosted or participated in more than 10 research projects. His research results were published in CSSCI journals such as Journal of Management Science, Industrial Engineering and Management and EI journals such as Control and Decision, Journal of Shanghai Jiao Tong University, Advanced Materials Research and SCI/SSCI journals such as Complexitity and Sustainability.

Education

• 1999.09-2005.03  Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Ph.D.

• 1994.09-1998.07  Technology Department of Automation, Shandong University, B.S.

Work Experience

• Since 2005.03    Glorious Sun School of Business and Management, Donghua University, Lecturer, Associate Professor

• 2012.08-2013.08  Yangkou Port Economic Development Zone, Jiangsu Province, the Deputy Secretary of the Party Committee (temporary positions)

Academic Experience

• 2015.08-2015.10  University of Alberta, Canada, Visiting Scholar

• 2011.03-2011.08  Carleton University, Canada, Visiting Scholar

ACADEMIC ACHIEVEMENTS

Journal Papers

• Jia, Y., Zeng, W., Xing, Y., Yang, D., & Jia, Li. (2021). The bike-sharing rebalancing problem considering multi-energy mixed fleets and traffic restrictions. Sustainability.

• Jia, Y., Xu, Y., Yang, D., & Li, J. (2020). The biobjective bike-sharing rebalancing problem with balance intervals: A multistart multiobjective particle swarm optimization algorithm, Complexity.

• Yang, D., Li, J., Wang, B., & Jia, Y. (2020). Module-based product configuration decisions considering both economical and carbon emission-related environmental factors. Sustainability.

• Yang, D., Liu, Q., Li, J., & Jia, Y. (2020). Multi-objective optimization of service selection and scheduling in cloud manufacturing considering environmental sustainability. Sustainability.

• Jia, L., Dong, Y., & Jia, Y. (2020). Multi-objective product configuration optimization under carbon cap policy considering both costs and environmental benefits. Industrial Engineering and Management, 1-11.

• Jia, Y., Chen, M., & Li, J. (2020). Modeling and Simulation on Electric Vehicle Routing Problem with Improved Charging Strategy. Modeling and Simulation, 9(1): 65-76.

• Jia, Y., & Wu, Q. (2020). Study on free-floating bike sharing rebalancing problem based on electric fence, Industrial Engineering and Management, 25(1): 79-86.

• Li, J., Yang, D., Jia, Y., & Li, J. (2020). Model and optimization on electric vehicle routing problem with simultaneous pick-ups and deliveries, Industrial Engineering and Management, 25(1): 29-37.

• Jia, Y., Guo，W., & Yang, D. (2017). Modeling and optimization on multi-objective exclusive electric vehicle routing problem, Industrial Engineering and Management, 22(5): 1-8.

• Jia, Y., & Xing, F. (2017). Research on location of electric vehicle recharging stations based on satisfactory optimization, Journal of Donghua University, 43(5): 739-745,770.

• Jia Y., Guo, W., & Zheng, Y. (2017). Research on electric taxi routing problem with time windows. Logistics Sci-Tech, 40(2):102-106.

• Xing, F, Jia, Y., Qi, J., & Yao, Z. (2016). Research on electric shuttle bus routing problem with recharging station, Management Science and Engineering, 5(4): 149-156.

• Conference Papers and Presentations

• Jia, Y., Gu, H., & Xi, Y. (2004). Multi-routes k-opt exchange algorithm for a class of vehicle transportation problem, presented at Proceedings of the 23rd Chinese Control Conference, East China University of Science and Technology Press.

• Wang, C., Jia, Y., & Wang, B. (2008). Parallel genetic algorithm for job shop heterogeneous multi-objectives scheduling problem, presented at Proceedings of the IEEE International Conference on Automation and Logistics.

• Jia, Y., Wang, C., & Wang, B. (2008). Multi-objective vehicle scheduling problem based on customer satisfaction and hybrid genetic algorithm, presented at The IEEE International Conference on Automation and Logistics.

• Jia, Y., Zhang, L., & Wang, C. (2016). Research on electric vehicle routing problem with recharging stations, presented at Proceedings of the management science and Engineering Society.

• Jia, Y., & Ren, Z. (2010). Hybrid genetic algorithm for multi-objective vehicle routing problem based on human-computer interaction, presented at 3rd International Conference on Information Management.

• Yong Liu, Jia, Y., &Wang, C. (2009). The impact of learning on integration capability and performance: A knowledge-based view, presented at Proceedings of the IEEE International Conference on Automation and Logistics.

• Jia, Y., Wang, C., & Wang, L. (2009). A rolling horizon procedure for dynamic pickup and delivery problem with time windows, presented at Proceedings of the IEEE International Conference on Automation and Logistics.

• Jia, Y., Wang, C., Liu, Y., & Wang, X. (2009). Dynamic model and scheduling system for a real-time pickup and delivery problem with time windows, presented at Proceedings of the IEEE International Conference on Automation and Logistics.

Teaching and Research Projects

• 2019-2021  Research on the bike-sharing rebalancing problem based on electronic fences (2018BGL018), General Project of Shanghai Philosophy and Social Science Planning Project.

• 2018-2020  Research on location and routing problem of electric vehicle charging stations under uncertain demand, Donghua University Preliminary Research Fund for Arts.

• 2016  Research on the optimization of the distribution system of pure electric vehicles, the Fundamental Research Funds for the Central Universities.

• 2015-2016  Logistics warehousing system optimization, sub-project of Jeanswest's online shopping business data analysis and operation optimization research project,

• 2013-2015  Research on vehicle scheduling problem with limited number of vehicles based on demand forecast, the Fundamental Research Funds for the Central Universities.

• 2011  Research on call volume forecasting and personnel scheduling of logistics enterprise call centers, the Fundamental Research Funds for the Central Universities,

• 2010-2011  Yantai Tianhui Company's logistics management system design and implementation and personnel training.

• 2010  Research on optimization of textile enterprise logistics network based on time competition, the Fundamental Research Funds for the Central Universities,

• 2008-2010  Research on Knowledge Representation and Intelligent Optimization of Dynamic Vehicle Scheduling System, Donghua University Arts Prosperity Fund Project.

• 2006-2008  Research on optimization of logistics distribution vehicle scheduling system, Donghua University Scientific Research Startup Fund Project.

TEACHING COURSES

• Undergraduate: Logistics System Modeling and Simulation, logistics system planning and design

• Graduate: Engineering optimization algorithm, logistics system modeling and optimization