Abstract:

The complexity of agri-food supply chains requires decision frameworks that translate strategic goals into measurable operational results. This study applies the Supply Chain Operations Reference (SCOR) model to evaluate planning efficiency in a medium-sized meat-processing enterprise located in the Lower Silesian region of Poland. Drawing on six months of transactional data from SAP S/4HANA, MES, and WMS systems, a hierarchical set of performance indicators was designed in accordance with SCOR v13.0. The analysis shows that while production and outbound logistics are broadly synchronized, structural weaknesses persist in forecasting, livestock procurement, and cross-departmental coordination. These findings were consistent with planners’ daily observations during the diagnostic stage. The study provides an industry-specific adaptation of SCOR for the meat sector and demonstrates how standardized metrics, when combined with ERP data, can generate an auditable basis for operational control and continuous improvement. The work contributes methodologically by showing how to embed SCOR into Sales and Operations Planning (S&OP), and practically by offering managers a replicable approach grounded in real enterprise data rather than assumptions.