Speaker: Prof. Jia Shu
Title: Reliable Facility Siting in Uncertain Disruption Situations
Report time: 16:00-18:00, May 30
Meeting place: A101, Boxue Building
Abstract: This paper examines the problem of reliable intolerant facility siting for facilities affected by uncertain disruptions. This paper proposes a two-stage distributed robust model to minimize the cost of fixed facility location and the expected transportation cost of serving customers under the worst-case outage distribution by optimizing facility location decisions. The model takes a general form, where the indeterminate joint distribution of interrupts is partially characteristic and allows for any pre-specified dependency structure. This model expands on several related models in the literature, including a stochastic model that explicitly gives an interrupt distribution and a robust model with interrupt moment information. In this paper, an efficient cutting surface algorithm is proposed to solve the model, in the stochastic model, the separation problem is solved by the polynomial time algorithm, and in the robust model, the separation problem is solved by the column generation method. A large number of numerical studies show that the proposed cutting surface algorithm is not only superior to the most famous algorithms for random problems under independent interference in the literature, but also can efficiently solve the robust problem under correlation interference. Simulations based on historical typhoon data in China verify the actual performance of the robust model. The numerical results further show that even a robust model with a small amount of interfering correlation information can reduce the conservatism and significantly improve the site selection decision.
About the speaker: Shu Jia is a professor and doctoral supervisor at the University of Electronic Science and Technology of China. So far, he has published more than 20 papers in international authoritative academic journals, and 7 papers in Operations Research, Transportation Science, and INFORMS Journal on Computing. Some of the research results have been selected into the lecture notes of the graduate course of the Sloan School of Management of the Massachusetts Institute of Technology, and have been cited, affirmed and praised by well-known scientists in the field of management science, including academicians of the American Academy of Engineering, former presidents of the American Academy of Management Sciences, and INFORMS Fellows of the United States. In 2012, he won the first National Science Fund for Outstanding Young Scholars, in 2014, he was awarded the National Ten Thousand Talents Program, in 2015, he was awarded the National Science Fund for Distinguished Young Scholars, and in 2015, he was selected as a young scholar in the **** Award Program of the Ministry of Education.
Sponsor: Department of Finance
