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Energy Challenges in Tyre Manufacturing
Tyre plants run energy-intensive, multi-stage processes where utilities dominate consumption. Tight process windows and manual control make energy per ton difficult to hold consistently.
15–25%
Share of energy in manufacturing cost
45–65%
Plant energy consumed by utilities
65%
Thermal Energy share complicate energy control
Actionable Energy Intelligence
The platform identifies and prescribes actions on where energy value typically sits across processes and utilities.
What You Gain
Prescriptive AI keeps energy per ton within tight operating bands across mixing, extrusion, molding, and curing lines, reducing energy by 8–12%.
Real-time monitoring prescribes corrective actions for idle loads, excess-pressure, and off-design operation across boilers, compressors, chillers, and drives.
Early deviation detection recommends interventions, reduction in rejection, and compounding energy losses across interconnected stages.
Clear, role-specific actionables enable immediate correction on the shop floor without analysis delays.
Case Studies
Unit Economics
Stabilising Energy Intensity in Continuous Textile Manufacturing
Client & Context Raymonds , A long-established Indian textile and lifestyle manufacturing group operates fully integrated textile businesses…
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Asset Efficiency
From Energy Monitoring to Prescriptive Action at Enterprise Scale
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Renewable Efficiency
Protecting Renewable ROI at Enterprise Scale
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