Řízení materiálového toku ve výrobním závodě v oboru stavebnictví

This thesis focuses on the analysis of inventory management processes in a selected manufacturing company that has chosen to remain anonymous. The objective was to assess whether the current inventory practices align with the principles of efficient and predictive planning, and to propose measures aimed at improving operational performance. The theoretical section summarizes key approaches to inventory management, item classification using the ABC-XYZ analysis, demand forecasting, and spatial analysis. The practical part is based on data from 2021 to 2024 and applies methods such as Holt-Winters, LSTM, reorder point and safety stock calculations, ABC-XYZ classification, and gravity analysis interpreted through heatmaps and ton-kilometer data. The study identifies shortcomings in forecasting, stock accumulation, and the uneven distribution of workload among production plants. Based on the findings, specific recommendations are proposed, including the implementation of predictive models, portfolio reduction, the creation of control mechanisms, data standardization, and a shift in production planning logic. The results demonstrate that focusing solely on production efficiency does not lead to operational optimization unless it is interconnected with demand management and logistics.