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邀请澳大利亚悉尼大学商学院Zhaolin Li 副教授学术报告

发布时间:2023/10/16 13:00:29

东北大学建校100周年

工商管理学院系列学术报告第56


告一:A Joint Optimization Approach to Solving Distributionally Robust Inventory Models

报告人:澳大利亚悉尼大学The University of Sydney)商学院  

                Zhaolin Li 副教授

主持人:hjc888黄金城  秦绪伟 教授

报告时间:20231020日(周五)9:00--12:00

腾讯会议号:926-880-499


报告二:研究团队内部研讨

研讨时间:20231020日(周五)14:00--16:00


报告摘要:

When only the moments (mean, variance or t-th moment) of the underline distribution are known, a variety of max-min optimization models choose actions to maximize the firm's expected profit against the most unfavourable distribution. Via duality, the min model can be reformulated as a semi-infinite programming (SIP) max model. Instead of treating the reformulated model as a two-stage model, we merge the two max operators to derive the closed form solutions (if they exist in the first place). Under this new approach, we obtain closed-form solutions, hitherto unknown, for several distributionally robust inventory models, including the newsvendor problem with mean and t-th moment (for t>1), the pricing model, the capacity planning model with multiple supply sources, and the two-product inventory system with common component.


报告人简介:

Prof. Zhaolin Li is an associate professor at the University of Sydney Business School. He holds a Ph.D. in Business Administration from The Pennsylvania State University. He has been with The University of Sydney since January 2009. Before moving to Sydney, he had worked in Ernst & Young LLP and City University of Hong Kong. His research focuses on supply chain management and the interfaces between operations management and other areas. His work has appeared in many top international journals such as Management Science, Production and Operations Management, Decision Sciences and others. Prof. Li is among Asia’s top scholars in operations management and he also holds a position among the top 25 supply chain management scholars of Asia.


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