Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing.
InterQ celebrates its 12M General Meeting at the CFAA
New post from CREDAT “Designing, Manufacturing and Testing”.
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 techniques 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.
One of the most attractive aspects of this project is the diversity of partners who participate in it.
With the results of the InterQ project, we expect to have improved process capability and product quality in machining operations, obtaining real time data analyzes to predict machine behaviour.
Monitoring data quality is a pre-requisite to zero-defect manufacturing as the quality of the data reflects the quality of the process and the product.
Video Systems (videosystems.it), leveraging its consolidated experience in industrial monitoring through image processing techniques.
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