9I制作厂网页版

光华讲坛——社会名流与公司家论坛第6776期

主题：零售和配送系统的实践：从预测到优化

主讲人：加拿大多伦多大学罗特曼商学院 刘晟助理教授

主持人：工商管理学院 章宇教授

时间：6月27日10:00-11:00

地点：柳林校区诚正楼430会议室

主办单位：工商管理学院 科研处

主讲人介绍：

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. 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.

刘晟是多伦多大学罗特曼商学院运营管理与统计学的助理教授。他于2019年毕业于伯克利大学，并加入罗特曼商学院。他的研究聚焦于通过优化与数据分析方法解决供应链、交通运输和物流系统中的运营问题。他曾为多家机构提供咨询或工作服务，包括京东、Sport Chek、Ninja Van、Hungerhub、亚马逊和Lyft。他的研究成果获得了多个奖项与论文竞赛的认可，包括INFORMS公共部门运营研究最佳论文奖、INFORMS TSL杰出论文奖（货运与物流方向）以及M&SOM数据驱动研究竞赛。他现担任Transportation Science的副主编及Service Science的编辑评审委员会成员。

内容提要：

In this talk, I will discuss my recent work on retail and last-mile delivery systems motivated by industry collaborations. In the first part, I will discuss retail prediction challenges faced by JD.com and our explorations in data-driven demand modeling. The second part of the talk will describe two field implementations of new optimization algorithms to improve operational efficiency: (a) delivery zoning and (b) menu design for meal delivery platforms. In particular, in study (b), we develop 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.

在本次讲座中，将介绍我近期对于零售与“最后一公里”配送系统的研究工作，这些研究受到与业界合作的启发。讲座的第一部分将讨论京东在零售需求预测中面临的挑战，以及我们在数据驱动需求建模方面的探索。第二部分将介绍两个已在实际业务中实施的新型优化算法，旨在提升运营效率：(补)配送分区优化；(产)面向外卖平台的菜单设计。特别是在研究(产)中，提出了一个全新的优化模型，将配送服务运营与产物组合决策相结合。该模型已在温哥华大都市区通过现场实验法得到了验证。