The system is equipped with the ability to quickly classify defects, conduct defect data query and browse defect photos and distribution maps, providing the basis for performing defect stack maps, defect source analysis and other functions.
It implements hierarchical and systematic yield query and one-click query of total yield as well as yield of each sector. The yield data import is executed automatically by the Rule, which can be integrated with automatic Hold mode of MES to make up for personnel analysis that may lack timeliness and have possible omissions.
When automatic interception occurs, it will integrate with OCAP real-time mail or mobile end alerts to remind users to deal with them in time.
It provides a multi-dimensional exception analysis that is integrated with algorithms, including detection analysis, Map analysis, Q-Time analysis, raw material analysis, environmental factor analysis, equipment integration analysis, parameter analysis, time series analysis of process, etc., therefore quickly locates the root cause of the problem.
Based on big data and iterative training of machine learning algorithms, real-time prediction of production is realized so as to timely adjust production strategies and improve product quality.