The quality of a product is strongly tied to the quality process and organization of the company that manufactures it as well as its cost in the manufacturing sector.

In order to achieve products that meet customers’ expectations, it is important not to be below their level.

Monitoring quality control includes testing each stage of the production process, from the inspection of incoming raw materials to the delivery of the finished products – your manufacturing line eventually becomes crowded and accumulated with testing data.

To optimize production, manufacturing data analytics can be used to identify parameters that need to be tweaked.


Why is this happening?

This is due to information overload. During the course of running a mass manufacturing line, it is not possible to continuously “digest” the detailed information collected from testing stations. When a problem arises, we usually analyze this data in detail, looking for the root cause to resolve the problem.

Quality data analysis requires technologies that collect and analyze the entire test data in real-time and enable us to control the manufacturing  analytics.

By extending beyond company boundaries, a digital industry can enable full collaboration on processes across the entire supply chain.


As part of its digital industry approach for an efficient manufacturing cycle, QualityLines captures all the data accumulated during the manufacturing process automatically. In order to significantly improve quality and yield, the data is analyzed and turned into actionable information. Manufacturers that already use our technology report a 30% increase in quality and yield in the first year.


Automated testing data from the manufacturing line is integrated in real-time into interactive manufacturing data analytics dashboards, providing:


  • Data structure integration with any manufacturing database.
  • Collecting data continuously.
  • Harmonization of data – establishing a global unified database.  
  • Data analytics: Qualityline analyzes the data automatically using machine learning and advanced manufacturing data analytics  techniques.
  • Data visualization. The QualityLine software automatically creates an interactive analytics dashboard that provides automatic anomaly detection and prediction alerts