- $2B revenue
- 8K employees worldwide
- 40+ site locations
This semiconductor industry leader, known for strict quality standards, faced increasing customer expectations for chemical filtration process consistency. To address this challenge TT PSC configured technologies that would:
- Determine process parameters of highest quality batches.
- Predict when process deviates from expected ideal path.
TT PSC provided a comprehensive solution from data modeling to dashboards for presenting results, including:
- Analyzed historical data in Amazon Redshift to identify key process influencers.
- Leveraged advanced analytics and machine learning to model filtration quality and consistency.
- Developed a predictive model for the filtration process using AWS SageMaker.
- Implemented real-time monitoring dashboards.
- Achieved 98.8% accuracy in predicting ideal process parameters.
- Ensured consistent quality and reduced variability as confirmed by lab measurements.
- Enhanced customer satisfaction by confirming process quality prior to delivery to customers.