Build an automatic detection + automatic monitoring + automatic feedback + automatic control closed-loop quality control system, safeguard quality stability, and create a digital and intelligent semiconductor manufacturing factory.
1. Poor Customization Service
The original system design is rigid, with single analysis and functions, unable to support customization and secondary development.
2. Single Data Presentation Form
The factory needs to add more advanced data models, diversified reporting functions, and deep interaction between systems.
3. Scattered Quality Data
Small data monitoring scope, unable to fully cover quality data sources, difficult to meet more detailed and complex quality management needs.
4. Low Offline Management Efficiency
Offline software analysis, low efficiency, prone to errors, data authenticity not guaranteed, offline monitoring inflexible, unable to alert in time, low intelligence.
Establish interaction functions between software systems, support automatic hold of goods or shutdown upon detecting key exception information, support opening production exception tickets and other business.
Monitoring system planning + process monitoring implementation + automatic alarm + process capability analysis closed-loop quality control system.
Through multi-dimensional statistical monitoring analysis such as man-machine-material-method-environment, gradually enrich monitoring models, adjust monitoring dimensions, achieve continuous improvement.
Achieve timely capture of product quality exceptions; avoid exception expansion and product scrap, reduce defect costs.