Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing.
We invite you to read the new post of Groupe Renault from Renault.
New post from Jokin Muñoa from IDEKO, InterQ project coordinator.
InterQ project wants to boost the quality of manufacturing operations and manufactured products linking the process, product and data quality across the supply chain.
The project will employ new generation of Digital Technologies and Artificial Intelligence driven applications including: digital twins, virtual sensors, AI-driven decision support systems, data fusion and distributed ledger technology.
InterQ will develop technology within 5 modules that will contribute to the creation, extension and usage of the PPD (Product, Process, Data) hallmark.
Monitors the quality of the manufacturing process with new physical sensors able to measure close to the cutting point and virtual sensors able to estimate the critical process characteristics.
Controls the quality of the product with new sensors and processing that automatize manual quality inspections to provide reliable data.
Evaluates the quality of the data collected on the process and product providing an industry 4.0 data quality service.
Improves the manufacturing quality using the reliable and meaningful data obtained both from the process and the product.
Ensures a complete product traceability using distributed ledgers trusted by all the parties.
InterQ concept will be applied in high-added value industrial applications.
Outstanding presence of IDEKO at the CIRP General Assembly, the most important international forum on Advanced Manufacturing.
For IDEKO it is a real pride to have a researcher of the stature of Xavier Beudaert on our team.
Highlights from SEA4DQ 2021 – the 1st International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems.
Written by Phu Nguyen, SINTEF, Norway.
Q-DAS’s main objective in the InterQ project is the development of a digital twin of a real production line of its project partners.
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