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Multivariate analysis tool (quality simulation)

Quality simulation enables product quality improvement and yield enhancement.

The multivariate analysis tool (quality simulation) is an analytics and AI technology (analysis and optimization technology) with a wealth of achievements in manufacturing quality improvement and abnormal detection of equipment at the customer's site. It detects anomalies arising from multiple factors in the manufacturing process, determines the relationship between product quality and factors, and enables quality simulation, thereby achieving product quality improvement and yield enhancement. One of the features of this analysis tool is the ability to verify the effects of implementation early on. If existing data is available, a simple diagnosis can be performed in as little as one day through offline analysis. Even if there is no existing data, data collection can be easily facilitated by retrofitting an edge controller to the existing system, allowing for the creation of diagnostic models. We will propose a deep dive into the analysis content, the construction of an online analysis system, system operation, maintenance, and expansion while confirming the effects of implementation together with the customer.

  • Business Intelligence and Data Analysis

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Multivariate analysis tool "Proficy CSense"

From offline analysis to real-time closed-loop optimization and control, all provided in one product!

"Proficy CSense" is an industrial analytics software that enhances the performance of assets and processes. By utilizing AI and machine learning, process engineers can combine data from across industrial data sources, quickly identify issues, and discover root causes. It enables the prediction of future performance and automates actions to continuously improve quality, utilization, productivity, and operations. 【Features】 ■ Analysis ■ Monitoring ■ Prediction and Forecasting ■ Simulation ■ Optimization *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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