Cross correlation of machine and product parameters for quick and accurate root cause analysis

      To maximize manufacturing yield and quality, machine and product parameters must be cross-correlated to ensure end-to-end quality control.

      To control the quality of their products, companies set up various machine parameters and test parameters.

      However, the key to a quick and accurate analysis of root causes is only possible when parameters of machines, test results, and repair data are integrated and correlated.

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      Monitoring and AI Analytics Tools- Improve Plant Performance

      Improve your products and processes by AI root cause analysis

      what is quality control in manufacturing

      Cross correlation analytics

      You can improve your products and processes by making sure you receive the best insights from your manufacturing data.  Using QualityLine’s machine learning and artificial intelligence technologies, you can correlate data from any format.

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      About QualityLine

      With QualityLine AI analytics you will be able to get your machine, test and repair data correlated in real time, allocating defective areas without significantly increasing false alarms.

      QualityLine is a provider of artificial intelligence manufacturing analytics technology that has improved the efficiency and quality of more than 1,500 production lines worldwide.