As Chinese chip manufacturing industry develop rapidly, the semiconductor materials—the core upstream semiconductor industry--- are in great demand. The key for semiconductor material manufacturers to ensure quality while improving output lies in the information system that can intelligently schedule production, monitor quality in real-time and track the product in full life cycle.
At present, most of the packaging and testing enterprises are in the trial stage of digital upgrade. With most work done by human, there is space for improvement. For example, the manual scheduling of production is slow with poor viability. It downgrades the customer satisfaction level by severely restricting the accuracy and stability of delivery, the length of order rescheduling time and factory capacity utilization rate. The manual scheduling cannot be accurate to the level of week/day, and its response to abnormality or urgency is slow. Moreover, the parameter tuning that relies on individual experience and empirical formulas cannot fully appraise the complex relations between quality-related production factors, resulting in poor product consistency the quality of which lags first-class international standards. With the absence of a unified QC system, the systems relating to quality control and the data they store are not connected. Manual data entry, which cost labor, is still pervasive, and the data are not always accurate and timely.

After over dozens of sessions and nearly 100 hours in-depth interviews with the client’s senior mgmt. teams and heads of business department, having found the client’s general business process and mgmt. pain points, GETECH plans to provide information system support with a focus on product yield and consistency. The provided strategy prioritizes the establishment of advanced process control and promotes client-oriented IT construction that aims at lean manufacturing, at maintaining client’s leading position in domestic market and at a high ROI.
In terms of intelligent manufacturing, through the multiple factor operation of demand, production capacity and process capability, the intelligent scheduling has significantly improved the efficiency and accuracy of scheduling, the capacity utilization rate, the delivery schedule accuracy (currently to month), thus ensuring a stable delivery. In terms of quality mgmt., through comprehensive analysis of process data, consumables and measurement data, a real-time optimization system for production process has been established. By the intelligent control and optimization of process parameters, it can improve yield, output and reduce labor cost. GETECH has introduced a unified QMS which, through its quality control over materials, production process and after-sale, has perfected client’s quality mgmt. system and improved its QM efficiency and product quality.
Combining its core AI platform capability with the factory equipment, GETECH has introduced the high-precision and accuracy defection inspection tools which can replace traditional manual visual inspection and improve operation efficiency. GETECH’s Energy Management System can, via comprehensive equipment monitoring of energy consumptions (including electricity, water, gas, steam, CDA) achieve statistical analysis energy use according to energy use categories, items and grades. Its appraisal of energy use condition provides decision-making support to the managers and operational guidance for the operators of energy equipment.