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PlantU YMS
Yield Management System
control
coordinate
execute

Combined with the application of statistical analysis, big data and AI, accurately analyze the root causes of yield, improve the efficiency and accuracy of defect control and yield analysis; establish analysis model through previous data to prevent the generation of similar problems and improve the yield.

Product Advantages
Through big data operation, automatic analysis of equipment, engineering parameters, and find out the root cause of the yield.
Through AI algorithm, automatically classify defect types and provide more analysis basis.
The statistical algorithm suitable for the production line is integrated, so that users can conduct statistical analysis to quickly detect data anomalies.
Powerful and flexible data processing function, drag and drop can define the good data processing.
Build Effect
  • 10
    Through the SPC system to achieve the timely response and control of abnormal quality, effectively reduce the diffusion of abnormal quality.
  • 9
    Fast and accurate big data algorithm can find the equipment fault parameters, PM, operators and other factors that affect the yield, so as to improve the yield and save production costs.
  • 8
    Through the use of the system software to master the simple and easy to use statistical analysis, improve the yield analysis ability.
  • 7
    Improve the efficiency of data import, cleaning, query and analysis.
Customer Cases