题    目：Dynamic Bid-Price Strategies in Hub-and-Spoke Networks: Structural Properties and a Theory-Informed AI Agent

嘉　宾：冯有翼 教授 西班牙萨拉戈萨物流中心（Zaragoza Logistics Center）

主持人：曾智宇 助理教授 上海交通大学安泰经济与管理学院

时　间：2026年10月13日（周二）10:30-12:00

地　点：上海交通大学安泰经济与管理学院包兆龙图书馆A507

内容简介：

We address dynamic bid-price strategies for a capacity-constrained hub-and-spoke network where n spoke cities feed into a single hub. This topology introduces complex inventory interactions involving both complementarity (connecting flights) and competition (local vs. connecting traffic). Extending the work of Ding and Feng (2026), we prove that the optimal value function exhibits coordinate concavity alongside mixed submodularity and supermodularity. These fundamental structural properties rigorously characterize the bid prices---the underlying opportunity costs of aircraft seats---across the entire network. Leveraging these theoretical guarantees, we propose a Theory-Informed AI'' framework for an automated revenue management AI agent. This approach employs constrained deep learning to estimate unknown demand intensities while strictly enforcing the proven geometric properties of the bid prices, effectively mitigating the curse of dimensionality and delivering robust, stable pricing policies for high-dimensional networks.

演讲人简介：

冯有翼（教授），获南京大学数学专业学士及硕士学位，获美国哥伦比亚大学工业工程硕士和博士学位。冯教授曾先后任职于纽约Bearing证券、Marshall Lazer银行及美国休斯顿安然公司, 以及在新加坡国立大学计算机学院信息系统系、香港中文大学系统工程与工程管理系、西班牙萨拉戈萨物流中心（Zaragoza Logistics Center）任教多年，有着丰富的学术和业界经历。曾任上海财经大学和四川大学特聘教授。冯教授的研究成果发表于《Operations Research》、《Management Science》、《Production and Operations Management》、《IEEE Transactions on Automatic Control》、《Naval Research Logistics》、《IIE Transaction》、《European Journal of Operational Research 》等运筹与管理科学领域国际权威期刊。

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