Methods for optimizing raw material inventory management in oil refining in conditions of price uncertainty

this scientific article discusses methods aimed at optimizing the management of raw material reserves at oil refineries in conditions of price uncertainty. The approaches, including statistical forecasting, dynamic programming, and efficient supply chain organization, are analyzed. Attention is drawn to the importance of digital technologies for automating procurement processes and inventory management. Materials and methods: the research use publications by Russian scientists, including articles from peer-reviewed journals related to this topic. The reliability of the data is ensured by the use of statistical methods that allow for an in-depth analysis of the phenomenon under study. The results of the study demonstrated that strategic planning of crude oil inventories in conditions of price volatility is critically important for the stable operation of oil refineries. To classify goods by profitability, the ABC analysis method is used, which divides products into three categories: 20% of goods that generate 80% of revenue (Group A), 30% of goods that generate 15% of revenue (Group B), and 50% of goods that generate 5% of revenue (Group C). Conclusion: the conducted analysis demonstrated the positive impact of the modernized raw material reserves management system of oil refineries on the economic performance of production in conditions of market price volatility. Modernization of material flow control methods will significantly minimize production risks and optimize the adaptation mechanisms of enterprises to dynamically changing market conditions.

optimization methods, reserves, oil refining, price uncertainty, risks, problems, functioning of enterprises