报告题目：Spatial Queueing Models in On-Demand Economy
I will discuss several spatial queueing models motivated by the recent applications of the on-demand economy, such as ride-hailing and on-demand food delivery. In those models, queueing theory can be applied to capture the spatial movements of servers such as vehicles and food-delivery couriers. I will use those models to explain how to resolve the wild goose chase problem in ride-hailing, how to dispatch and route food-delivery couriers, and what might affect the restaurant industry over the long run after the introduction of on-demand delivery.
Ming Hu is the University of Toronto Distinguished Professor of Business Operations and Analytics, and a professor of operations management at the Rotman School. He was named as one of Poets & Quants Best 40 Under 40 business school professors in 2018. He is the recipient of Wickham Skinner Early-Career Research Accomplishments Award by the POM Society (2016) and Best Operations Management Paper in Management Science Award by INFORMS (2017). He currently serves as the editor-in-chief of Naval Research Logistics, editor of a special issue of Manufacturing & Service Operations Management on sharing economy and innovative marketplaces, department editor of Service Science, associate editor of Operations Research, and senior editor of Production and Operations Management. He is also currently serving as the Chair of Revenue Management and Pricing Section at INFORMS.