喻园管理论坛2024年第107期(总第1039期)
演讲主题：Improving Delivery Systems with Innovative Zoning and Coordination: Theory and Practice
主讲人：刘晟 多伦多大学罗特曼管理学院助理教授
主持人：王玥 供应链管理与系统工程系讲师
活动时间：2024年12月12日（周四）15：30-17：00
活动地点：管院大楼105室
主讲人简介：
Sheng Liu is an Assistant Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. He joined Rotman after graduating from Berkeley in 2019. Sheng's research focuses on solving operations problems in supply chains, transportation, and logistics systems through optimization and data analytics. His industry experience includes consulting or working for organizations such as JD.com, Sport Chek, Ninja Van, Hungerhub, Amazon, and Lyft. More recently, he has been working on (a) data-driven and sustainable urban infrastructure planning, (b) inventory placement in online retailing, and (c) zoning/districting in emerging logistics systems. He is also interested in improving decision outcomes for vulnerable groups, motivated by collaboration with nonprofit organizations such as Shelter Movers and WHO. His work has been recognized by several awards and paper competitions, including the INFORMS Public Sector Operations Research Best Paper Award, INFORMS TSL Outstanding Paper Award (Freight Transportation and Logistics), and M&SOM Data-Driven Research Competition. He currently serves as an Associate Editor of Transportation Science and an Editorial Review Board member of Service Science.
活动简介：
In this talk, I will discuss my recent work on last-mile delivery systems with innovative zoning and coordination schemes. In the first part, I will discuss data-driven optimization models to partition the service region to improve response time and service equity. In addition to theoretical performance guarantees, the framework has been successfully implemented for a leading logistics company in Southeast Asia. The second part of the talk will present ideas on coordinating last-mile delivery jobs with other business operations, including ride-hailing and assortment. In particular, I will describe a collaboration with a meal delivery platform, which leads to a new optimization model that connects delivery service operations and assortment planning decisions. This model has been validated with a field experiment in the Vancouver metropolitan area.
