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Michelin

Michelin Shenyang cuts minimum order quantity 71% with AI and machine vision for NEV tires

71%Minimum order quantity reduction
51%Trial lead time reduction
36%Defect rate reduction

The Challenge

Driven by the rising new energy vehicle market, Michelin Shenyang saw its NEV tyre portfolio grow by 340% to over 250 SKUs, putting pressure on its high-speed automated production line for greater agility and quality.

The Solution

Michelin Shenyang deployed over 30 digital solutions using AI, machine vision, and big data to boost flexibility, trial efficiency, and quality across its tire manufacturing operations.

Results

The digital transformation achieved a 71% reduction in minimum order quantity, a 51% cut in trial lead time, and a 36% drop in the defect rate.

Key Takeaways

  • Machine vision and AI enable flexible manufacturing for rapidly expanding NEV tire portfolios
  • 71% reduction in minimum order quantity enables true mass customization
  • Digital solutions help legacy production lines adapt to NEV market demands

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Details

Industry
Automotive
AI Technology
Computer Vision
Company Size
Enterprise
Company
Michelin
Quality
Verified

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