Time: 10:00-12:00, 13 May 2026
Speaker: Sheng Liu is an Assistant Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. He received his bachelor's degree from Tsinghua University in 2014 and his PhD from the University of California, Berkeley in 2019. His research uses optimization and data analytics methods to address operational problems in supply chains, transportation, and logistics systems. He has published multiple papers in international journals including Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, and INFORMS Journal on Computing. His research has received several awards and paper competition recognitions, including the INFORMS Public Sector Operations Research Best Paper Award, INFORMS TSL Outstanding Paper Award in Freight Transportation and Logistics, M&SOM Data-Driven Research Competition recognition, and finalist status in the INFORMS Wagner Competition, one of the world's largest competitions for practical achievements in operations research and analytics. He currently serves as Associate Editor of Transportation Science, Senior Editor of Production and Operations Management, and Editorial Review Board Member of Service Science.
Abstract:
The rise of e-commerce and instant delivery has created challenges for matching demand and resources across space. This seminar discusses how new partitioning and assortment optimization methods can improve the operational efficiency of logistics systems. It will mainly share two real-world implementation projects, in Southeast Asia and Canada, along with related experience, focusing on how simple and theoretically grounded methods can influence operations management practice. The core idea is the reasonable spatial allocation and coordination of resources.
