Optimal Inventory Planning for Iron Ore Processing: A Mathematical Perspective from Ansteel Mining Corporation

Efficient inventory planning is critical for optimizing iron ore processing operations in the mining industry. Ansteel Mining Corporation recognizes the significance of data-driven decision-making in achieving optimal inventory management. This study presents a mathematical perspective on inventory planning for iron ore processing at Ansteel Mining Corporation. The research highlights the development and application of mathematical models to optimize inventory levels, production scheduling, and resource allocation. By leveraging historical process data and real-time sensor information, the mathematical models aim to minimize inventory costs, reduce production bottlenecks, and ensure timely order fulfillment. The case study showcases the successful implementation of data-driven inventory planning strategies, leading to improved operational efficiency, reduced waste, and enhanced profitability. The insights gained from this study provide a valuable framework for the mining industry to adopt mathematical techniques in inventory planning for sustainable and economically viable mining operations