Management logistických procesů v konkrétním výrobním podniku

This master’s thesis focuses on the optimization of inventory management in a manufacturing company using the Demand-Driven Material Requirements Planning (DDMRP) methodology. The main objective is to empirically validate the mathematical safety stock model proposed by Lee et al. (2019) using real historical data. The methodology is based on a case study approach, analyzing demand and lead time data and applying the model to calculate buffer zones. The results are compared with the company’s current system using statistical tests. The findings indicate a reduction in inventory levels but insufficient service levels, highlighting the need for model calibration in real-world conditions. The thesis provides practical recommendations and contributes to bridging the gap between theory and practice in supply chain management.