EDA – 奧拓星

Because of the trend of yield rate optimization, analyzing the engineering data by statistical learning and machine learning is the new trend of quality control. With the help of EDA(Engineering Data Analysis), the analyst will find the possible causes of process problem by statistical charts and machine learning tools. EDA also provided specific charts for different industries such as semiconductor industry and panel industry to optimize the yield rate.

Big Data Analysis Platform of Smart Factory

EDA(Engineering Data Analysis) is a engineering data analysis platform. With the engineering data uploaded by MES or EAP, the analyst will explore the problem of process by the analysis of variance or associative analysis. Then, the analyst will analyze the data by machine learning tools such as clustering, decision tree and multi-regression in order to find out the key factor affecting yield rate. EDA also provides specific charts for different industries such as semiconductor industry and panel industry to comprehensively analyze the engineering data.

Key Capabilities

Customized Chart & Analysis Process

The analyst can make use of all engineering data to create customized chart and data analysis process. The analysis process can be saved in order to reuse it in the future.

Statistical Learning & Machine Learning Tool

EDA provides analysis tools such as ANOVA, associative analysis, clustering, decision tree and multi-regression so that the analyst can efficiently find the key factor of quality.

Customized Chart Development

During the implement of EDA, the AltoStar consulting team would research the manufacturing field and develop customized chart to assist the analyst to inspect the defect.