报告题目：Last Mile Innovation: The Case of the Locker Alliance Network
报告人：吕国栋 香港科技大学
报告时间：2024年10月30日(周三) 14:30-16:00
报告地点：中国科学院大学中关村校区教学楼S302
腾讯会议：784-456-910
内容摘要
The Locker Alliance Network (LAN), a cutting-edge initiative under Singapore's Smart Nation vision, aims to revolutionize parcel pickup processes. This government-led project seeks to implement two major changes in Singapore's urban logistics: (i) establishing an open-access facility for all Logistic Service Providers (LSPs), and (ii) enhancing the last mile delivery efficiency of each LSP, thereby reducing their operational footprint. This research investigates the impact of locker network design on the delivery efficiency of individual LSPs and explores strategies for the government to construct an inclusive network for all LSPs. Our study explores two operational modes: the two-trip mode, where home and locker deliveries are managed separately; and the mixed-trip mode, which consolidates both into one route. We extend the Beardwood-Halton-Hammersley (BHH) theorem to estimate the delivery trip length to remaining home locations, considering consumer choices between locker pickup and home delivery. This enables us to explicitly formulate the LAN design problem. Furthermore, our models for both operational modes reveal that optimal locker network design tends to expand in a “nested” manner relative to the market share of an LSP. This finding suggests that governments could design locker networks based on the profiles of the largest LSP, ensuring that the expansion of these networks aligns with the existing logistics infrastructure.Leveraging data from LAN's pilot program in Singapore, our simulations indicate that the currently deployed locker network surprisingly reduces last mile delivery efficiency, compared to the benchmark of not installing any lockers. Applying our models to optimize locker network design helps mitigate this negative impact, but the improvement over this no-locker benchmark remains limited. Beyond the factor of network design, we identify another critical bottleneck contributing to this inefficiency as the low customer adoption rate -- the optimized network improves delivery efficiency, especially in the mixed-trip mode, as more customers shift to locker pickup. Our research emphasizes the significance of customer engagement and the adoption rate of locker pickup within the population as key factors for the success of the LAN. The government's role in facilitating this engagement, alongside optimizing locker network design and delivery operations, is crucial for realizing the full potential of this smart nation initiative.
主讲人简介
Dr. Guodong Lyu is an Assistant Professor at HKUST Business School, The Hong Kong University of Science and Technology. He received his Ph.D. degree from NUS Business School and Bachelor degree from Beijing Normal University. He is broadly interested in exploring the interactions between data analytics and operations research, with applications stretching from classical operation management to smart city operations and sustainable development. His focus of methodology includes online optimization, robust optimization, and machine learning. His research has been published in journals including Management Science, Operations Research, and Manufacturing & Service Operations Management. His research achievements have been recognized through paper awards such as Finalist in the 2019 INFORMS George B. Dantzig Dissertation Award Competition, 2024 Outstanding Paper Award from the Urban SIG of the INFORMS TSL Society, and Finalist in the 2024 Best Student Paper Competition from the College of SCM of the POMS.
