時(shí)間：12月26日（本周四）下午4:30-6:00
地點(diǎn)：主樓317
報(bào)告內(nèi)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(bào)告人簡(jiǎn)介：
榮鷹博士現(xiàn)任上海交通大學(xué)安泰經(jīng)濟(jì)與偉德國(guó)際1946bv官網(wǎng)教授、博士生導(dǎo)師。他于2010年8月回國(guó)執(zhí)教于上海交通大學(xué)，此前在美國(guó)加州大學(xué)伯克利分校和里海大學(xué)從事科研工作，并在上海交通大學(xué)和美國(guó)里海大學(xué)分別獲學(xué)士、碩士和博士學(xué)位。榮鷹教授主要研究領(lǐng)域?yàn)榉?wù)運(yùn)營(yíng)優(yōu)化、新興商業(yè)模型的運(yùn)作以及數(shù)據(jù)驅(qū)動(dòng)的優(yōu)化模型。研究成果發(fā)表在Management Science, Operations Research，Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, IIE Transactions等國(guó)際學(xué)術(shù)刊物上。榮鷹教授是2015年度國(guó)家優(yōu)秀青年科學(xué)基金獲得者并且多次獲得過(guò)國(guó)際獎(jiǎng)項(xiàng)，其中包括兩度MSOM最佳論文獎(jiǎng)和INFORMS Energy, Natural Resources & Environment Young Researcher Prize.
?。ǔ修k：管理工程系、科研與學(xué)術(shù)交流中心）
