On November 10, 2022, associate professor Zhang Zhenzhen of the School of Economics and Management of Tongji University brought a report entitled "Distributely Robust Chance Constrained p-Hub Center Problem" to our faculty and students. This report was held online in the form of Tencent conference, attracting more than 80 teachers and students from universities across the country. Among them, more than 30 teachers and students, including Zhang Yuli, associate professor of the School of Management and Economics, attended the lecture and exchanged views with Zhang Zhenzhen before and after the report. The moderator of this lecture is the associate professor of plateau in the Department of Management Science and Logistics of the School of Management and Economics.From the practical application, Mr. Zhang introduced the location problem of p-hub center under uncertain conditions, and discussed the correlation between uncertain factors in the problem. Subsequently, Mr. Zhang proposed two types of distributed robust chance-constrained models to extend the existing stochastic optimization models. By reconstructing the chance-constrained model, the mixed integer programming model is obtained, which greatly improves the solvability of the model; Further, based on the constraint generation idea and the callback function of the solver, the cut generation algorithm is designed to improve the efficiency of the model. At last, Mr. Zhang verified the effectiveness and efficiency of the model and algorithm through abundant examples.
Zhang Zhenzhen, associate professor and doctoral supervisor of the School of Economics and Management of Tongji University. Selected into the Shanghai High-level Talent Plan (2019). He once served as an assistant professor in the Department of Industrial Engineering of the National University of Singapore, and received a doctor's degree in the Department of Management Science of City University of Hong Kong, and a master's degree and a bachelor's degree in the Department of Computer Science of Xiamen University. He has long been committed to the theoretical research and algorithm design of large-scale integer programming and robust optimization, as well as the application in logistics and transportation planning, intelligent manufacturing, etc. Participated in solving many important enterprise problems, such as the transportation service procurement problem of Philips, the non-emergency ambulance scheduling problem of Hong Kong public hospitals, the commodity transfer problem of fast fashion brand CHARLES&KEITH, and the vehicle scheduling problem of Singapore logistics company. The research results obtained can help it significantly reduce its operating costs and significantly improve its service efficiency and service quality. At present, more than 20 SCI/SSCI journal papers have been published, including Operations Research (1), Transportation Science (3), Transportation Research Part B (3), etc. He is currently a member of the Technical Committee for Freight Planning and Logistics Management of the World Transport Congress (WTC), the Executive Secretary of the Transportation Branch of the Management Science and Engineering Society, and has been the reviewer of more than 30 internationally renowned journals for a long time.