Tata Steel optimized its annealing line, cutting fuel 8% per tonne.

Continuous annealing is essential to controlling the quality of cold-rolled steel strips. Running the line well is a complex multi-variable problem, since the strip's properties depend on a precise sequence of heating, holding and cooling.

Tata Steel, with academic consultant IIT Bombay, applied operations research and analytics to digitally transform the continuous annealing process in its most value-added stream. The optimization reads the in-process state and drives the heat-treatment settings to the target product properties using the least fuel.

The result was an 8% reduction in specific fuel consumption and CO2 per tonne of steel — worth about $2.5 million a year and 10,000 tonnes of CO2 — plus a 20% improvement in premium-product quality.

Optimize the heat-treatment recipe, not just the equipment

The annealer's settings were chosen by experience, not by solving for the optimum

Fine-tuning the recipe improved quality and energy use without new capital

Model-based control captures interactions humans cannot track in real time

The savings compound because the line runs continuously

For a continuous process, the recipe is the real asset; tuning parameters mathematically can lift both yield and sustainability at the same time.

The project was named a 2024 Franz Edelman Award finalist and Tata Steel and IIT Bombay were inducted into the Franz Edelman Academy. Tata Steel continued to expand analytics across its process operations, aligning with its net-zero carbon goal for 2045.