CLUSTER-BASED STRATEGIES FOR THE SELECTION OF LOGISTICS SERVICE PROVIDERS: THEORETICAL FOUNDATIONS AND PRACTICAL APPLICATIONS

Selecting logistics service providers is a critical factor in enhancing the efficiency of supply chains, particularly with the rapid growth of e-commerce. Clustering methods, such as k-means clustering, provide an effective approach for grouping providers based on their characteristics, enabling companies to make faster and more informed decisions. This study explores the theoretical foundations of clustering methods and their practical application in the selection of logistics service providers. By conducting a systematic literature review, we analyzed the use of clustering in logistics, with a specific emphasis on the selection and evaluation of service providers.