Root cause analysis examples in manufacturing
AI-Powered Root Cause Analysis
- Machine learning
- Anomaly detection of quality and yield problems
- Prediction of failures
- Cross correlations between process and parameters
- Automatic alerts
- Pattern recognition for automated data mapping
Statistical process control:
- Real time monitoring of Key Performance Indicators
- Product quality problems
- Root cause analysis down to the component level
- Monitor vendors and subcontractor’s quality of products
- Drill down to a single tested unit and deep diagnostics
- Cp/Cpk analysis
3 Steps/Long gains
QualityLine deliver both SPC and AI-powered root cause analysis insights to improve your manufacturing process
Step 1
AI Root Cause Analysis
Root cause analysis examples in manufacturing: QualityLine’s Root cause analysis is powered by AI technology -the patented technology automatically integrates, collects and analyses any type of manufacturing data collected during your manufacturing process:
- Automated test equipment of any type
- Manual data collection
- Repair/rework
- ERP/EMS
- SMT Analytics
Step 2
Gain complete control across your global manufacturing operations to boost Quality and Efficiency
Supplier inefficiency can have a huge impact on the release of products to the market. Automating root cause analysis will deliver end-to-end control and reduce defective modules.
Step 3
Protect your Brand and Customers Loyalty
A lack of product quality can have negative consequences for companies, including a direct impact on brand loyalty and customer satisfaction.
By automating the collection and analysis of data, QualityLine’s root cause analysis improves efficiency and quality.
