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,?
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?
Lots of sensors are deployed to the machines,
what is the most effective way to utilize such massive amounts of data?
A solution that can identify yield rate problems in the fastest manner-monitors all factors impacting quality and yield rates efficiently and accurately.
Quality parameter monitoring and anomaly management in the production process.
A comprehensive analysis system most suitable for the IC design industry and testing industry for test data integration.
Real-time machine anomaly monitoring allows fast yield rate improvement.
TYNE ─ leading brand of engineering data analysis and yield management systems.
At present, more than 100 factories in the ICT industry use the products of TYNE.