A Study on the Supply Chain Optimization Method using SNA-based product tracking manufacturing data - Focused on the Plating Surface Treatment in the Manufacturing Industry -

Abstract

This study aims to comprehensively understand the complex dynamics within the supply chain by visualizing the local supply chain of Company K, an essential company in the metal surface treatment field in the region, through social network analysis and evaluating the structure, relationships, and interdependence between companies. Do this. Connectivity, betweenness, proximity, and eigenvector centrality indicators were used to identify the dominant influence of key hubs (S3HY, S3SY) and hidden pivotal nodes (S1SY) within the supply chain. This analysis is expected to be a theoretical and empirical basis for strategic decision-making and optimal supply chain strategy establishment.