Use Cases & Benefits
Benefits and Use Cases
Support root cause analysis for yield degradation, equipment anomaly detection, and new product ramp-up, leading to shorter analysis time, reduced engineering workload, and shorter TAT.
Root Cause Analysis for Yield Degradation
- Check yield at the lot level
- Visualize spatial distribution with wafer maps
- Identify local anomalies through region splitting
- Extract influential parameters using correlation analysis
- Feed insights back to processes and equipment
Equipment Anomaly Detection
Monitor trends using control charts such as Xbar-R, EWMA, and CUSUM, and detect equipment anomalies early through drift detection.
New Product Ramp-Up
Useful for early evaluation of parameter distributions, extraction of important parameters through correlation analysis, and early removal of abnormal data.
Benefits
Implementation Benefits
Support yield improvement, early defect detection, process and equipment anomaly detection, analysis automation, reduced engineering workload, lower manufacturing costs, and shorter production lead time.
* Effects depend on the environment, product, and implementation scope.
Differentiation from Other Tools
- Designed specifically for semiconductor test data
- Supports Lot / Wafer / Site structures
- Integrated wafer maps and statistical analysis
- Cross-analysis of WT/FT data
- Architecture designed for big data
Prerequisites and Limitations
- Data is assumed to be managed by lot
- Missing values depend on preprocessing or internal processing
- Correlation accuracy may decrease with sparse data
Future Extensions
- Anomaly detection using machine learning
- Defect classification using clustering
- Predictive analysis for yield prediction
Contact
Consult with us based on your target data and implementation scale
From existing file analysis to server integration, alerts, and report automation, please proceed to the technical contact page.