Express your interests to contact@o2des.net

Research Papers

Zhou, C., Li, H., Liu, W., Stephen, A., Lee, L. H., & Chew, E. P. (2018, December). Challenges and opportunities in integration of simulation and optimization in maritime logistics. In Proceedings of the 2018 Winter Simulation Conference (pp. 2897-2908). IEEE Press.

Zhou, C., Li, H., Lee, B. K., & Qiu, Z. (2018). A simulation-based vessel-truck coordination strategy for lighterage terminals. Transportation Research Part C: Emerging Technologies95, 149-164.

Li, H., Zhou, C., Lee, B. K., Lee, L. H., & Chew, E. P. (2017, December). A hierarchical modeling paradigm for multi-fidelity simulation of mega container terminals. In 2017 IEEE/SICE International Symposium on System Integration (SII) (pp. 247-252). IEEE.

Zhou, C., Li, H., Lee, L. H., & Chew, E. P. (2017, December). A modularized simulation for traffic network in container terminals via network of servers with dynamic rates. In Proceedings of the 2017 Winter Simulation Conference (p. 257). IEEE Press.

Li, H., Fu, X., Yin, X. F., Xu, H.-Y., & Zhang, W. (2017). Optimal Capacity Planning for General Cargo Terminals with Data-Driven Discrete Event Simulation. Proceedings of the 5th International Maritime-Port Technology and Development Conference (MTEC 2017).

Li, H., Pedrielli, G., Fu, X., Yin, X. F., & Lee, L. H. (2017, December). Optimal design of master-worker architecture for parallelized simulation optimization. In 2017 Winter Simulation Conference (WSC) (pp. 2183-2193). IEEE.

Li, H., Zhou, C., Lee, B. K., Lee, L. H., Chew, E. P., & Goh, R. S. M. (2017). Capacity planning for mega container terminals with multi-objective and multi-fidelity simulation optimization. IISE Transactions49(9), 849-862.

Pedrielli, G., Vinsensius, A., Chew, E. P., Lee, L. H., Duri, A., & Li, H. (2016, December). Hybrid order picking strategies for fashion E-commerce warehouse systems. In Proceedings of the 2016 Winter simulation conference (pp. 2250-2261). IEEE Press.

Li, H., & Pedrielli, G. (2016). Shipment policy optimisation in a return supply chain for online retailers via stochastic discrete event simulation. International Journal of Simulation and Process Modelling11(3-4), 241-258.

Li, H., Zhu, Y., Chen, Y., Pedrielli, G., & Pujowidianto, N. A. (2015, December). The object-oriented discrete event simulation modeling: a case study on aircraft spare part management. In Proceedings of the 2015 Winter Simulation Conference (pp. 3514-3525). IEEE Press.

Haobin

He is an Assistant Professor at the Department of Industrial Systems Engineering and Management, National University of Singapore. He received his B.Eng. degree (1st Class Honors) in 2009 from the Department of Industrial and Systems Engineering at National University of Singapore, with minor in computer science; and Ph.D. degree from the same department in 2014. He has research interests in operations research, simulation optimization and designing high performance optimization tools with application on logistics and maritime studies.

Leave a Reply

Your email address will not be published. Required fields are marked *