Simulation and Optimization of Cainiao Pick-Up System: A Case Study at Shanxi University of Finance and Economics
The rapid growth of Cainiao Network has made its stations key express hubs in universities, improving “last mile” logistics. However, the Cainiao station at Shanxi University of Finance and Economics faces peak-hour congestion and inefficiency. This study proposes a “zero-queue passage” solution using AnyLogic simulation to optimize equipment, personnel, and layout. Results show that adding scanners, increasing staff, and opening a new exit reduce congestion, with the exit having a smaller impact.
Authors
- Deqing Yu
Institutions
- Shanghai University (CN)
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1109/iccea65460.2025.11103302
- Primary Topic
- Sustainable Industrial Ecology
- Type
- article
- Field-Weighted Citation Impact
- 0.00