時間：12月26日（本周四）下午4:30-6:00
地點：主樓317
報告內容摘要:
The focus of this talk is to identify the underlying factors and develop an order assignment policy that can help an on-demand meal delivery service platform to grow. By analyzing transactional data obtained from an online meal delivery platform in Hangzhou (China) over a two-month period in 2015, we find empirical evidence that an ``early delivery'' is positively correlated with customer retention: a 10-minute earlier delivery is associated with an increase of one order per month from each customer. However, we find that the negative effect on future orders associated with ``late deliveries'' is much stronger than the positive effect associated with early deliveries. Moreover, we show empirically that a driver's individual local area knowledge and prior delivery experience can reduce late deliveries significantly. Finally, through a simulation study, we illustrate how one can incorporate our empirical results in the development of an order assignment policy that can help a platform to grow its business through customer retention. Our empirical results and our simulation study suggest that to increase future customer orders, an on-demand service platform should address the issues arising from both the supply side (i.e., driver's local area knowledge and delivery experience) and the demand side (i.e., asymmetric impacts of early and late deliveries on customer future orders) into their operations.
報告人簡介：
榮鷹博士現任上海交通大學安泰經濟與偉德國際1946bv官網教授、博士生導師。他于2010年8月回國執教于上海交通大學，此前在美國加州大學伯克利分校和里海大學從事科研工作，并在上海交通大學和美國里海大學分別獲學士、碩士和博士學位。榮鷹教授主要研究領域為服務運營優化、新興商業模型的運作以及數據驅動的優化模型。研究成果發表在Management Science, Operations Research，Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, IIE Transactions等國際學術刊物上。榮鷹教授是2015年度國家優秀青年科學基金獲得者并且多次獲得過國際獎項，其中包括兩度MSOM最佳論文獎和INFORMS Energy, Natural Resources & Environment Young Researcher Prize.
（承辦：管理工程系、科研與學術交流中心）
