Our client is a leading global tire manufacturer, recognized for high-performance tire innovation and a strong focus on quality and sustainability.
With increasing variations in tire sizes, compounds, and designs, the existing manual trial-and-error methods of determining optimal tire curing time is no more affordable. Each new variant required recalibration, and if porosity was detected after curing, the process had to be repeated with extended cure cycles.
This approach resulted in:
- Increased production time and rework,
- Higher scrap rates and material waste,
- Greater energy consumption and environmental impact.
To sustain innovation leadership and meet sustainability goals, most client sought to digitally transform the curing process using intelligent, data-driven methods.
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