光華講壇——社會(huì)名流與企業(yè)家論壇第6776期
主題：零售和配送系統(tǒng)的實(shí)踐：從預(yù)測(cè)到優(yōu)化
主講人：加拿大多倫多大學(xué)羅特曼商學(xué)院 劉晟助理教授
主持人：工商管理學(xué)院 章宇教授
時(shí)間：6月27日10:00-11:00
地點(diǎn)：柳林校區(qū)誠(chéng)正樓430會(huì)議室
主辦單位：工商管理學(xué)院 科研處
主講人簡(jiǎn)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. 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.
劉晟是多倫多大學(xué)羅特曼商學(xué)院運(yùn)營(yíng)管理與統(tǒng)計(jì)學(xué)的助理教授。他于2019年畢業(yè)于伯克利大學(xué)，并加入羅特曼商學(xué)院。他的研究聚焦于通過(guò)優(yōu)化與數(shù)據(jù)分析方法解決供應(yīng)鏈、交通運(yùn)輸和物流系統(tǒng)中的運(yùn)營(yíng)問(wèn)題。他曾為多家機(jī)構(gòu)提供咨詢(xún)或工作服務(wù)，包括京東、Sport Chek、Ninja Van、Hungerhub、亞馬遜和Lyft。他的研究成果獲得了多個(gè)獎(jiǎng)項(xiàng)與論文競(jìng)賽的認(rèn)可，包括INFORMS公共部門(mén)運(yùn)營(yíng)研究最佳論文獎(jiǎng)、INFORMS TSL杰出論文獎(jiǎng)（貨運(yùn)與物流方向）以及M&SOM數(shù)據(jù)驅(qū)動(dòng)研究競(jìng)賽。他現(xiàn)擔(dān)任Transportation Science的副主編及Service Science的編輯評(píng)審委員會(huì)成員。
內(nèi)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.
在本次講座中，將介紹我近期關(guān)于零售與“最后一公里”配送系統(tǒng)的研究工作，這些研究受到與業(yè)界合作的啟發(fā)。講座的第一部分將討論京東在零售需求預(yù)測(cè)中面臨的挑戰(zhàn)，以及我們?cè)跀?shù)據(jù)驅(qū)動(dòng)需求建模方面的探索。第二部分將介紹兩個(gè)已在實(shí)際業(yè)務(wù)中實(shí)施的新型優(yōu)化算法，旨在提升運(yùn)營(yíng)效率：(a)配送分區(qū)優(yōu)化；(b)面向外賣(mài)平臺(tái)的菜單設(shè)計(jì)。特別是在研究(b)中，提出了一個(gè)全新的優(yōu)化模型，將配送服務(wù)運(yùn)營(yíng)與產(chǎn)品組合決策相結(jié)合。該模型已在溫哥華大都市區(qū)通過(guò)現(xiàn)場(chǎng)實(shí)驗(yàn)法得到了驗(yàn)證。
