讲座：Discrete Convex Analysis and their Applications in Operations Models
题 目：Discrete Convex Analysis and their Applications in Operations Models
嘉 宾：Xin Chen 传授 伊利诺伊大学厄巴纳-香槟分校
掌管人：何滚滚 助理传授 上海交通大学安泰经济与办理学院
Discrete convex analysis provides powerful tools and methodologies to analyze and solve a variety of operations models. In this talk, I will briefly introduce several key concepts from discrete convex analysis, L-natural-convexity and M-natural-convexity as well as their variants, and their properties. I will then illustrate how they can be used to analyze challenging applications including appointment scheduling, inventory models with substitutable products, and portfolio contract models.
Xin Chen is a professor at the University of Illinois at Urbana-Champaign. He obtained his PhD from MIT in 2003, MS from Chinese Academy of Sciences in 1998 and BS from Xiangtan University in 1995. His research interest lies in optimization, data analytics, revenue management and supply chain management. He received the Informs revenue management and pricing section prize in 2009. He is the coauthor of the book “The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management (Second Edition, 2005, & Third Edition, 2014)”, and serving as the department editor of logistics and supply chain management of Naval Research Logistics and an associate editor of several journals including Operations Research, Management Science, and Production and Operations Management.