With such core and new generation info. technologies as big data and AI, fully releasing the potentials of enterprise internal data resources and high-end equipment, we provide semiconductor factories with integrated solutions to make high-end manufacturing intelligent manufacturing.
1、Production Site Data Silos
Data is playing an increasingly important role for semiconductor manufacturers as the factory info. systems and the automation processes generate large amount of data, and the production side relies more and more on data analysis. Nevertheless the existing bottlenecks made the extraction, storing and organization of process data time and labor consuming. Moreover, data were stored in separate systems which were difficulty to connect and to be comprehensively analyzed.
2、High Operation and Maintenance Costs
The semiconductor industry, being typically asset intensive, has large amount of expensive, mainly imported equipment, which may cause great losses during abnormal downtime. Under the market pressure of high performance and low cost in the semiconductor industry, the existing high-cost equipment management methods are unsustainable. Moreover, the existing system cannot carry out real-time visual monitoring and centralized management of multiple production lines and multiple machines for the wafer factories. There is still room for improving the efficiency of equipment utilization.
3、Time and Labor Consuming Data Analysis
The craft of semiconductor industry is complex with many factors that interconnect and affect the production process. The crafting process demand extremely highly on accuracy to guarantee the high reliability of data analysis. Nevertheless, there are few model cases in the application of big data to semiconductor industry. The integration of business and big data is still superficial because of a lack of talents who understand OT and IT convergence, and a lack of professional data mining and analysis tools.
4、QC Relies on Manual Labor
The yield rate is the lifeline of the semiconductor industry, but most factories are still relying on manual experience for quality control. The overall production efficiency and accuracy is limited due to the flaws of manual, subjective inspections including fluctuating deviations, slow pace, and low accuracy and efficiency caused by high workload. With high employee turnover rate, long training times and increasing labor costs in the manufacturing industry, the reliance on manual labor is unsustainable.
