Flex
Deep-learning predictive maintenance for PCBA production
Flex reported ~33% higher operator productivity after introducing predictive maintenance
Problem
Errors in circuit-board assembly could pass through several production stages before detection. Existing machine-data analysis explained failures after they occurred.
Approach
Flex introduced deep-learning models at its Zalaegerszeg factory in Hungary in 2023. The models analyzed historical machine data to predict and locate anomalies or maintenance needs before production problems developed.
Results
Takeaway
Earlier fault detection addressed both machine downtime and the rework caused by defects discovered downstream.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Flex described predictive maintenance introduced at its Hungarian PCBA factory in 2023. It reported gains in operator productivity, line utilization and engineering productivity.
Full details are in the original sources.