Artificial Intelligence (AI)  and Machine learning (ML) are becoming fundamental for the manufacturing sector and QualityLine has made it possible for any size of factory to use the power of AI to improve quality and efficiency as never before. After 25 years of practical experience in manufacturing management of more than 100 mas production lines worldwide, we can enable the Industry 4.0 technology to any size of factory. 

Our patented AI pattern recognition technology automatically integrates, interprets and analyses any type of manufacturing data from any factory worldwide.

How does our AI recognition technology enable fast data integration for any size of industry?

The automated and fast integration of any manufacturing data source offers a real-time data collection and analysis that can be an industry great competitive advantage to enable teams to better control the manufacturing lines and make important decisions. Our AI pattern recognition technology uses algorithms that will automatically analyse the data which is continuously accumulated during the manufacturing process from any data structure.

That means that we make it possible for any factory to become digital without installing any hardware. Our software AI technology can be installed in the local servers in the factories, or in the cloud, and then continuously capture any data structure and reorganize it all in a unified global database. 

How can root cause analysis be improved with Artificial Intelligence (AI)? 

We use AI technology to capture any anomaly detection of quality and yield for each product and each process. The findings of this anomaly detection are shown in a user friendly platform to enable a quick and accurate root cause analysis for the manufacturing teams. For the top management, the online monitoring dashboard of all facilities worldwide deliveries an automated monitoring on cost of efficiency and quality.

Quick and accurate root cause analysis improved by our AI solution

  • Anomaly detection of quality and yield problems
  • Prediction of failure rate
  • Smart collections between stages of production for quick problem prevention
  • Monitor vendors and subcontractor’s quality of products
  • Monitor qualification of shop floor operators
  • Reduce faulty products return rate from customers

Key improved performances based on QualityLine’s customers are a 30% increase in quality and yield in the first year and a 50%reduction on client returns on faulty products. In addition, the deployment of AI in manufacturing reduces materials waste, performs predictive maintenance, and more.

Our advanced manufacturing analytics also brings correlation between tests and parameters. This is a significant capability that enables the engineering and R&D teams from industries to improve the level for manufacturability of their products. Using AI to predict manufacturing requirements, companies can improve product testability, enhancing a product design and new introduction (NPI) process and manage market seasonality of demand.