Bibliographic Details
| Title: |
LOGISTICS-DRIVEN RETAIL CLUSTERING FOR OPTIMAL URBAN CONSOLIDATION CENTER PLACEMENT. |
| Authors: |
VASS, Lívia1 livijudo03@gmail.com, BÁNYAI, Tamás1 tamas.banyai@uni-miskolc.hu |
| Source: |
Academic Journal of Manufacturing Engineering. 2025, Vol. 23 Issue 4, p98-118. 21p. |
| Subjects: |
Delivery of goods, Mathematical models, Warehouses, Freight & freightage, Python programming language |
| Abstract: |
Urban freight transport is vital for city logistics but also contributes to congestion and environmental issues. Urban Consolidation Centers (UCCs) offer a promising way to streamline last-mile deliveries and reduce these impacts. This research aims to determine the optimal location for UCCs by first identifying clusters of retail stores within an urban area. These clusters form the basis for selecting the most suitable UCC sites. The research includes defining clustering criteria for logistics optimization, developing related mathematical models, creating a real-data-based case study, coding the method in Python, selecting UCCs based on clusters, and evaluating the clustering criteria. The findings will support more efficient and sustainable urban logistics. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
