Devising Blend Optimization Framework to Maximize Value Potential of Coke Production

AI enabled UI tool enhanced performance and quality parameters.

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    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

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    Manas Agrawal

    CEO & Co-Founder

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