Machine Learning for Improving the Productivity of Steel Production

Orrcon Steel company records the data generated at each stage of steel production in their production mills. Raw materials are passed through multiple processes in the mill before producing the end product.  While a huge amount of data is being recorded, exploration of the same for gaining insights has now become a priority to improve the productivity of the mills. This project applies machine learning techniques to learn the historical production patterns and make decisions to improve the productivity of the mills.