时间：2022年12月21日（周三）18: 30-20: 30
讲座地点：腾讯会议：259-567-787
主 讲 人：冯 奇 普渡大学 教 授
主 持 人：陈 靖 副教授、博导
主题：Operational Data Analytics for Newsvendors
讲座摘要
Decision making with limited data is challenging.In this talk, we introduce the framework of operational data analytics (ODA) that integrates data to predictive or prescriptive solutions. This framework strikes a delicate balance between the (likely imprecise) structural knowledge and the data. The two pillars of the ODA framework are (i) a data-integration model that identifies the class of operational statistics based on the desired structural properties of the models within the domain of validation, and (ii) a validating model that appropriately utilize the data to validate the choice of the operational statistics. Using the classical newsvendor model as an example, we show that the ODA framework generalizes the existing approaches including predict-then-optimize, regularized empirical optimization, robust optimization, robust satisfying, order statistics and smart-predict-and-optimize.
嘉宾简介
Qi Annabelle Feng is the John and Donna Krenicki Chair in Operations Management at Purdue Business School, Purdue University since 2014. Her current research interests lie in developing notions of stochastic functions and approaches for data-integrated decision making with the applications to supply chain management, service design, resource planning, and policy making. She was a Department Editor of Data Science, Stochastics and Optimization for Production and Operations Management, and is currently serving as the Department Editor of Supply Chain Management for Flexible Manufacturing and Service Journal, an Associate Editor for Operations Research, an Associate Editor for Management Science, and an Associate Editor for Manufacturing & Service Operations Management. She received the first prize in the INFORMS Junior Faculty Paper Competition in 2009, the Wickham Skinner Early-Career Research Accomplishment Award in 2012, and the Wickham Skinner Best Paper Award in 2018. She is a fellow of Production and Operations Management Society since 2020.
承办单位
信息管理与决策科学系
智慧运营与供应链研究所
科研与师资发展办公室
