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    AYEDAS Premium SPC ADC LRCS EEAS MIAS
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When continuously improving, have you spent lots of time organizing data scattered all over the place for root causes finding?

How to identify variables of significance among the various variables,?

Greatly enhancing yield rates and production efficiency

Without good SPC tools holistically monitoring in real time, how much unnecessary losses will cost?

Why are some data just unable to get into your SPC system?

Process Information in Just One Click Away

AI has already become a popular doctrine, how to apply it to your production lines?

Do you expect higher accuracy in defect image classification to reduce the error rate caused by manual judgements?

Highly accurate and expandable and can greatly reduce inspection manpowers and increase efficiency and the level of intelligence of factories.

As the IoT age, you must have deployed sensors to the machines, what is the most effective way to utilize such massive amounts of data?

The best solution to the massive data of machines for health checks, simulation, and monitoring in real time.
  • AYEDAS

    Advanced Yield Enhancement Data Analysis System

    A solution that can identify yield rate problems in the fastest manner—monitors all factors impacting quality and yield rates efficiently and accurately.

  • Premium SPC

    Statistical Process Control

    Quality parameter monitoring and anomaly management in the production process.

  • ADC

    Auto Defect Classification

    Deep learning and algorithms developed by TYNE can automatically detect defect positions and determine defect classification.


  • LRCS

    Lot Review and Comparison System

    A comprehensive analysis system most suitable for the IC design industry and testing industry for test data integration.

  • EEAS

    Equipement Engineering Analysis System

    Real-time machine anomaly monitoring allows fast yield rate improvement.

  • MIAS

    Manufacturing Intelligence Analysis System

    A smart analysis platform designated for organizing data from various sources, expanding analysis perspectives under the excellent efficiency of big data architecture.

TYNE ─ leading brand of industrial big data systems. At present, nearly 100 factories in the ICT industry use the products of TYNE.

TYNE NEWS

  • TYNE participated the 2022 SEMICON Taiwan and co-exhibited with Grand Process Technology at Taipei Nangang Exhibition Center
  • TYNE launches the EEAS (FDC) Equipment Engineering Analysis System adapting specially designed multivariate analytical and machine learning methodologies reduce big data dimensions and allow quick key indicator identification for monitoring from massive data.
  • TYNE launches big data MIAS cross-system integration platform, analyzing in depth the relations between different data sources and strengthening company competitiveness through smart data analysis!

About Us Client Overview Contact Us

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AYEDAS Premium SPC ADC LRCS EEAS MIAS
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