Engineering: leader della Digital Transformation

Engineering Innovation in

Digital Industry

InterQ: interlinked framework for Zero-Defects Manufacturing

Our project to boost the quality of manufacturing by linking the Process, Product and Data quality aspects (PPD) across the entire supply chain.

Approach & Solution

InterQ Q.jpg

Approach

Nowadays, the manufacturing plants are collecting data following the industry 4.0 trend, but until now most of the work has been dedicated to infrastructure setup and data collection. A large amount of data is generated from the existing machine sensors.

However, that information is not directly useful for process planners to improve the productivity or the quality of the manufactured products. The main limitations of current implementations are: large amounts of data with little information, lack of information about the product quality, unreliable data, reactive (instead of proactive) product quality optimization, lack of data exchange between the supply chain actors, lack of product traceability.

InterQ develops a platform to increase the quality of European smart manufacturing, exploiting its full potential.
Logo EU.jpg

Solution

InterQ developes a digital platform based on five modules:
  • InterQ-Process: monitors the quality of manufacturing processes, producing Process-level Quality Hallmarks
  • InterQ-Product: controls the quality of finished products/parts, producing Product-level Quality Hallmarks
  • InterQ-Data: evaluates the quality of collected data, producing Data-level Quality Hallmarks
  • InterQ-TrustedFramework: ensures the trustworthy traceability of PPD Quality Hallmarks across the entire supply chain, in which Engineering gave its main contribution
  • InterQ-ZeroDefect: leverages on PPD Quality Hallmarks to improve the overall manufacturing quality


The project has received co-funding from the European Union's Horizon 2020 programme - Contract No. 958357

Results

Estimate process variables close to processing point

Measure final product quality in-process using digital twins

Ensure data reliability

Optimize the product quality based on AI

Ensure security and traceability

Project value

Innovation
Process performance

Enabling Technologies

Digital Twin
IoT
Blockchain
AI Advanced Analytics

Project Team

Research & Innovation