Title: Tactical Operations of Service Region Dimensioning, Bundling, and Matching for On-Demand Food Delivery Services
Speaker: Mr. Kaihang Zhang (Department of Civil Engineering)
Date: Feb 27, 2025 (Thursday)
Time: 4:00 pm - 5:00 pm
Venue: Room 612B, 6/F, Haking Wong Building, The University of Hong Kong
About the talk: On-demand food delivery (OFD) services have experienced a significant surge in popularity in recent years, which poses various challenges for service operators. To address these challenges, we discuss an analytical model that captures the complex interplay of the OFD system by considering factors such as adjustable service region size and order bundling. We investigate how key decision variables, including maximum delivery distance and bundling ratio, affect the system's endogenous variables and two critical system performance metrics: customer total waiting time and order throughput. Our analysis yields several intriguing managerial insights. First, the maximum delivery distance has a non-monotonic impact on the customer accumulation time, delivery time, and total waiting time, and there is a “win-win” situation in which increasing the maximum delivery distance benefits both the customer total waiting time and order throughput. Second, order bundling is crucial under high customer demand to ensure adequate food delivery supply, but it is less desirable under low customer demand due to increased detour distances in delivery. We further explore strategies for minimizing customer total waiting time (by setting small service regions and bundling ratios) and order throughput (by establishing larger service regions). Recognizing the partial conflict between these two objectives, we identify the Pareto-efficient frontier that serves as a guideline for service operators in balancing these competing goals.
About the speaker: Kaihang Zhang is currently a PhD candidate at The University of Hong Kong supervised by Dr. Jintao Ke. He is a student member of INFORMS, ITS of HKU, and the recipient of Hong Kong PhD Fellowship and HKU Presidential Scholarship. He has been developing economic analytical models and network flow models throughout his PhD study at HKU on the operations for on-demand urban mobility systems. During his time at HKU, he worked as a visiting research student at LIMOS, University of Michigan, working on the development of data-driven analytical model for food delivery services. He has Bachelor’s Degrees from Zhejiang University and UIUC, and a Master’s Degree from UC Berkeley.
