Semiconductor materials are the core upstream industry of the semiconductor sector. With the rapid development of China's chip manufacturing industry, demand for semiconductor materials has significantly increased. Semiconductor material manufacturing enterprises need to ensure quality while boosting production at full speed, with the core being an information system capable of intelligent scheduling, real-time quality monitoring, and full-lifecycle product traceability. Currently, most packaging and testing enterprises are in the trial phase of digital upgrades, with most work still manual, leaving room for optimization. For example, manual scheduling calculations are slow, and plan rationality is low, severely restricting delivery precision, stability, order recurrence duration, factory capacity utilization, etc., affecting customer satisfaction. Manual scheduling accuracy is low, cannot be precise to week/day, with slow response to emergencies. Factories heavily rely on manual experience and empirical formulas for production parameter adjustments, difficult to fully consider complex inter-factor relationships affecting quality, leading to a significant gap in product consistency compared to international standards. Without a unified quality management system, quality-related systems are fragmented, data is not integrated, still has significant manual data entry, consuming manpower, with issues of data accuracy and information lag.

GETECH conducted dozens of in-depth interviews totaling nearly a hundred hours with the client's senior management team and business department heads to understand their basic business processes and pain points. Developed an information support strategy focused on product yield and consistency, with a priority construction strategy oriented towards high automation and advanced process control, an information construction strategy aimed at meeting customer requirements and lean manufacturing, and an information construction strategy maintaining domestic leadership and high ROI. In smart manufacturing, through operations research on multiple factors such as demand, capacity, and process capability, intelligent scheduling is performed, significantly improving scheduling efficiency and accuracy, enhancing capacity utilization, improving delivery estimation precision (currently monthly), ensuring delivery stability. In quality management, through comprehensive analysis of process data, consumables, and measurement data, build a real-time optimization system for production processes, achieve intelligent control and optimization of process parameters, improve yield, capacity, reduce labor costs and losses. GETECH introduced a unified QMS quality management system for the client, improving the quality management system through quality control of materials, production processes, and after-sales, enhancing quality management efficiency and product quality. GETECH integrates its core AI platform capabilities with factory equipment, introduces high-precision, high-accuracy defect detection tools to replace traditional manual visual inspections, improving operational efficiency. GETECH's EMS energy management system enables comprehensive monitoring of energy consumption (electricity, water, gas, steam, CDA) and other equipment, achieving classification, itemization, and hierarchical statistical analysis of energy usage, evaluating energy utilization status, providing decision support for management, and operational management basis for energy-consuming equipment operators.