ChinaManufacturing2026 – ongoingForvia
AI use cases at the Yancheng seat-track plant, a WEF Lighthouse Factory
Forvia's Yancheng plant reported a 46% die change gain and a 7.5-month payback on its AI use cases
Problem
The Yancheng plant makes about 30 million sets of automotive seat tracks a year. It needed to keep quality high, reduce destructive testing and shorten die changes.
Approach
The plant ran more than 40 AI use cases using machine learning, deep learning and generative AI. They included a multimodal quality control system, a big data model that replaced or optimized destructive testing, and generative AI for die change optimization. The World Economic Forum named the plant a Lighthouse Factory in January 2026.
Results
Takeaway
The figures come from Forvia's own announcement and the company did not say how it measured them.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Forvia's press release reports the plant's recognition as a Lighthouse Factory and lists its AI work, including more than 40 use cases. It gives a 46% gain in die change optimization, over 90% accuracy for the testing model and a 7.5-month payback.
Full details are in the original sources.