_Semiconductor Chemical Manufacturing Enhances Process Quality with Predictive Analytics

Company Overview

• $2B revenue 
• 8K employees worldwide 
• 40+ site locations 

Challenge

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. 

Solution

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. 

Results

By leveraging AWS services and ThingWorx, the semiconductor industry leader was delivered with a solution resulting in: 

• 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.