Speaker: Professor Liu Ming, Nanjing University of Technology

Time: 10:00 AM on January 22, 2024

Location: Conference Room 601, Boxue Building, Jiangning Campus, Hohai University

Speaker Introduction:

Liu Ming (male), Professor and Doctoral Supervisor at the School of Economics and Management, Nanjing University of Technology, is one of the first batch of social science outstanding young people in Jiangsu Province. His main research direction is biosafety and emergency management. Hosted 6 provincial-level and ministerial level projects, including the National Natural Science Foundation of China and the Humanities and Social Sciences Foundation of the Ministry of Education. Published over 50 papers in important academic journals both domestically and internationally, such as TRE, JORS, China Management Science, and Systems Engineering Theory and Practice. Multiple papers were reprinted in full in the National People's Congress Reproductive Press and Publication Index. Published 4 monographs and won 7 awards, including the Second Prize of the 8th Higher Education Science Research Excellent Achievement Award (Humanities and Social Sciences) and the Second Prize of the 16th Jiangsu Philosophy and Social Sciences Excellent Achievement Award (2020). Currently serving as a member of the Logistics System Engineering Professional Committee of the China Society of Systems Engineering, a member of the Youth Work Committee of the China Society of Systems Engineering, and a director of the Higher Education Management Branch of the China (Dual Law) Society.

Summary of the report:

Hospital construction is an important measure to respond to various major public health emergencies. Existing research mostly qualitatively explores the important role played by hospital construction from the perspective of medicine or government management, and there is also little research on the optimal spatiotemporal distribution of hospital bed expansion from the perspective of scenario reconstruction. Unlike existing research, the main contribution of this study lies in: ① proposing a general decision-making framework model for optimizing hospital capacity allocation under major public health emergencies. The designed framework model has good universality and scalability, and can be used for emergency response to other unconventional emergencies in the future; ② Characterizing the interactive coupling effect between hospital capacity allocation and infection spread behavior through the intermediate variable of acceptable number of infected individuals; ③ Introduce a fairness function that takes into account the psychology of comparison to characterize the degree of perceived lack of fairness among the public.

Organizers: Department of Management Science and Information Management, Institute of Management Science and Engineering