There are some problems in the allocation of vehicle logistics locations, such as long queuing time, low efficiency of warehousing and exiting, and unreasonable allocation of warehousing locations. Therefore, aiming at the location matching problem of vehicle logistics storage area, a partition allocation strategy model is constructed. Firstly, k-means clustering algorithm is used to analyze the location allocation strategy of partition allocation, and the clustering results of 7, 8, 9, 10 and 11 are calculated respectively. Then, based on the clustering analysis results, the location matching model is established by Flex Sim simulation software. The results show that the outbound time of the location allocation strategy based on partition allocation is reduced by about 10% compared with random allocation.

Silin Cheng, Manqing Lu, Mengyi Ding. Research on Vehicle Logistics Location Allocation Strategy Based on K-Means Clustering. Academic Journal of Business & Management (2025), Vol. 7, Issue 9: 60-67. https://doi.org/10.25236/AJBM.2025.070909.

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