Devising Blend Optimization Framework to Maximize Value Potential of Coke Production

AI enabled UI tool enhanced performance and quality parameters.

Download Case Study​​

Business Quandary

Coke constitutes 50% of the cost of molten metal extraction. Choosing the right blend of two or more coal types is challenging but critical to producing the desired coke quality at a low cost. The client needed Affine to build an automated system to simplify this decision-making process of choosing the right blend without compromising on calorific performance and quality composition.

Augmented Outcomes

4% - 6%

reduction in high-value coal consumption

Recommended Case Studies