Nan Ya Plastics
Manufacturing AI for defect inspection and quality prediction
Nan Ya Plastics reported 94 AI applications going live in 2021
Problem
Nan Ya Plastics sought to improve defect detection and adjust manufacturing conditions using production data.
Approach
The company organized internal AI teams in 2018, pairing data scientists with process specialists. Its program included image-based defect detection and virtual analyzers linking process parameters to sampled quality measurements. Research partnerships supported development and technology transfer.
Results
Takeaway
Deployment counts documented operational use. The program's reported financial benefits were estimates.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Nan Ya Plastics described manufacturing AI applications and its development organization. It listed 52 projects going live in 2018 and 94 in 2021, while labeling financial benefits as estimates.
Full details are in the original sources.