Integration of SCOR model and Social Network Analysis: improving supplier management in complex supply chains

The integration of the SCOR model (Supply Chain Operations Reference) with Social Network Analysis (SNA) is proposed in this study as a strategic, data-driven approach to enhance supplier management in complex supply chains. The research was conducted through a case study in a molecule purification plant using the Roster-Call method, interviews with managers, ERP system data collection, and analysis with UCINET and NetDraw software. Centrality indicators (degree, closeness, and betweenness) allowed the identification of the focal company's critical centrality while also revealing structural weaknesses, such as excessive dependence on a single node and low connectivity among peripheral actors. The SWOT analysis, combined with the SCOR Plan and Source stages, made it possible to relate the network’s strengths, weaknesses, opportunities, and threats, while the proposal of performance indicators such as Order Fulfillment Cycle Time, Supply Chain Responsiveness, and Sourcing Flexibility expanded monitoring and management capabilities. The results demonstrate that the combination of analytical tools (SNA and SWOT) with reference models (SCOR) provides a hybrid framework capable of mapping relational structures, identifying critical points, and proposing practical metrics that strengthen supply chain resilience and efficiency. As a limitation, the study highlights its application to a single case and the absence of practical validation of the proposals, recommending caution in generalizations. Nevertheless, the work contributes both to literature by advancing the methodological integration of analytical models and to managerial practice by supporting decisions grounded in structural and strategic data.