Implementing the necessary functions for effective utilization of manufacturing data! Seamlessly achieving data analysis to anomaly monitoring.
The "@FieldEye Manager" is an analysis and anomaly management system that seamlessly realizes data analysis and anomaly monitoring through centralized data management and modeling. It implements necessary functions for effective utilization of manufacturing data, including "high-speed processing of large volumes of data and external integration," "high-precision analysis," "anomaly detection," and "modeling." In response to the challenge that "most quality anomalies are discovered in later processes, leading to reactive measures and increased losses," there are cases where we have checked 500 equipment parameters in real-time at 10,000 files per day to prevent the outflow of quality anomaly lots in advance. 【Features】 ■ Big Data Support: High-speed search using NoSQL DB ■ Usability: Trimming, overlaying time series, and statistical value display ■ Modeling and Anomaly Detection: Automatic judgment through modeling of normal waveforms *For more details, please refer to the PDF materials or feel free to contact us.
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【System Functions】 ■ High-capacity data high-speed processing and external collaboration: Centralized management and utilization of large amounts of data generated in production sites. ■ High-precision analysis: Capable of high-precision anomaly detection and analysis. ■ Anomaly detection: Real-time anomaly detection and easy analysis of abnormal data. ■ Modeling: Significant efficiency improvement in setup tasks and realization of unknown anomaly detection. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Our company is a group of engineers engaged in establishing manufacturing conditions and developing systems necessary for new product development and mass production improvement, primarily in the field of semiconductor manufacturing. We provide consistent support from proposing improvement measures to addressing and following up on issues, by directly confronting phenomena in the field and utilizing statistical methods based on principles and fundamentals. The name of our company, "At Fields," embodies our commitment to contributing to our customers rooted in the field. We promise to be a strong partner in improving our customers' management.