Dr ZOU Chengye, Paul (鄒成業)
PhD (HKU)
BEng (ZJU)

Assistant Professor
Department of Supply Chain and Information Management

電話 : 3963 5532
電郵 :
chengyezou@hsu.edu.hk


Dr ZOU received his Bachelor of Engineering from Zhejiang University (ZJU) and his PhD in Service Engineering from the Department of Industrial and Manufacturing Systems Engineering at the University of Hong Kong (HKU). Prior to joining HSUHK, he served as a postdoc at the Department of Management Sciences, City University of Hong Kong, followed by a Postdoctoral Fellow position at HKU Business School. His research interests include service systems engineering, simulation and stochastic analytics, operations management, resilience, and intelligent optimization. His current work primarily focuses on smart services and operations management, especially in healthcare services such as outpatient care and emergency departments, as well as the resilience in complex networks.

Research InterestsSelected PublicationsTeaching Modules
TopResearch Interests
  • Service systems engineering
  • Healthcare
  • Simulation and stochastic analytics
  • Operations management
  • Resilience
  • Intelligent optimization
TopSelected Publications
  • Zou, C., Wang, J., & Cheng, Y. (2023). The impact of the variability of patient flow and service time on the efficiency of large-scale outpatient systems. IEEE Transactions on Computational Social Systems, 10(3), 1230-1240.
  • Zou, C., Wang, J., & Cheng, Y. (2022). Critical department analysis for large-scale outpatient systems. IEEE Transactions on Computational Social Systems.
  • Yu, X., Zou, C., Shi, K., & Li, X. (2020). Force characteristics and two-dimensional pressure fields of air flotation units with different numbers and distribution radii of orifices. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 234(1), 108-120.
  • Zou, C. & Wang, J. (2018). A novel method for modeling the large-scale hospital. In 2018 5th International Conference on Systems and Informatics (ICSAI) (pp. 1231-1234). IEEE.
TopTeaching Modules
  • SCM3006 Operations & Supply Chain Management
  • MSIM3101 Management Science
  • MSIM3203 Business application programming and implementation
  • SCM6111 Supply chain modeling and analytics