Dr. Chaoqun Han | Logistics and Supply Chain Management | Best Paper Award
shanghai Dianji University| China
Chaoqun Han is an accomplished scholar in management science and engineering, specializing in logistics and supply chain management. She currently serves as an Associate Professor at the Business School of Shanghai Dianji University, where she has established herself as a dedicated researcher and educator. Her academic journey began with a bachelor’s and master’s degree in business administration, followed by a doctorate in management science and engineering from Huazhong University of Science and Technology, equipping her with a solid foundation for her research career. Dr. Han’s research primarily explores supply chain dynamics, carbon emission reduction strategies, vendor-managed inventory, third-party logistics, and value-added service strategies in smart manufacturing platforms. She has contributed significantly to high-impact journals, including Computers & Industrial Engineering, Journal of Intelligent & Fuzzy Systems, and Mathematical Problems in Engineering. Her work integrates theoretical insights with practical applications, particularly focusing on carbon tax policies, low-carbon preferences, and collaborative mechanisms within supply chains. Beyond her publications, she has actively participated in multiple research programs funded by the National Natural Science Foundation of China and provincial initiatives, addressing pressing challenges in sustainable logistics, distributed e-commerce, and electric vehicle management. She has also expanded her expertise through international training and visiting scholar positions in Germany and the United States. Through her innovative research and teaching, Dr. Han continues to advance the development of efficient, sustainable, and intelligent supply chain systems.
Profile: Scopus
Featured Publications
Han, C.-Q., Hu, Z.-H., & Ma, H.-W. (2023). Dynamic cooperative value-added service strategies of the smart manufacturing platform considering the network effect and altruism preference. Computers & Industrial Engineering, 178, 109048.