报告题目：Last Mile Innovation: The Case of the Locker Alliance Network
报 告 人：吕国栋（新加坡国立大学 研究员）
主 持 人：王杉（中山大学岭南学院 助理教授）
时 间： 2019年11月22日（周五）下午14:30-16:00
Under the smart nation initiative, the Singapore government has recently proposed the concept of “Locker Alliance” (LA), an interoperable network of lockers in residential areas and train stations, to improve the efficiency of last mile parcel delivery operations. This is to complement the existing locker infrastructure, comprising mainly of proprietary lockers in commercial areas by a few large players. How do we design the LA and what proportion of the parcels in Singapore will be shifted to the LA? These are key questions to address before the nation-wide implementation. In this work, we focus on the issues of network design and determine the appropriate coverage of the LA lockers. The problem is complicated by the fact that customers can pick up parcels either from the lockers near their homes or their work places. Without knowing the home-work office information of each customer, it is challenging to design the LA network to ensure that its utilization will be maximized.
We use a set of locker usage data from a proprietary system to calibrate a locker choice model, and use the observed delivery profile (without LA) to develop a facility location model for the network design problem. To solve the large-scale facility location problem, we propose an exact SOCP-MIP reformulation to this problem. We show that the volume of parcels delivered to the lockers, obtained without considering the issue of demand endogeneity, is a lower bound to the case when we factor in demand endogeneity. Contrary to conventional wisdom, our model may not always place lockers near areas with peak parcel volume because of demand endogeneity. Using real data provided by the government agency and industry players, we show that with a well-chosen LA Network, the volume of parcels delivered into CBD can be reduced by at least 7.5%. This will in turn contribute to a more sustainable city logistics ecosystem. (This is a joint work with Professor Chung-Piaw Teo from NUS)
吕国栋（Guodong Lyu）博士毕业于新加坡国立大学商学院分析与运营系。他的主要研究兴趣包括在线优化和稳健优化，在供应链管理和物流、共享经济、在线零售、人因物流和收益管理方面有潜在的应用。他的博士论文入选2019 George B. Dantzig 论文竞赛决赛，其研究发表于Management Science、Manufacturing & Service Operations Management等期刊。