Optimizing Mining Processes through Advanced Computing Techniques: A Case Study of Ansteel Mining Corporation

The mining industry is undergoing a transformation driven by technological advancements and the increasing demand for sustainable practices. This case study presents how Ansteel Mining Corporation leveraged advanced computing techniques to optimize its mining processes. The study explores the implementation of data-driven strategies, including big data analytics, machine learning, and real-time monitoring, to enhance efficiency, reduce operational costs, and improve environmental sustainability. Through a comprehensive analysis of sensor data, historical process logs, and geological information, Ansteel Mining Corporation achieved significant improvements in resource allocation, inventory planning, and predictive maintenance. The case study highlights the transformative impact of advanced computing techniques in the mining sector and emphasizes the importance of adopting data-driven approaches for a more sustainable future