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Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

Project description

DEENESFRITPL

Smart ways to eliminate defects in industry

Today’s manufacturing industry is in constant need of finding new ways to enhance processes so they can improve quality and minimise defects and costs. The EU-funded DAT4.ZERO project will develop a digitally-enhanced quality management (DQM) system to prevent faults. With the use of smart, dynamic feedback and feed-forward mechanisms, the project will contribute towards zero-defect manufacturing in smart factories. The DQM system combines smart sensors and actuators with existing large data sets to monitor process parameters such as temperature and vibration during machining operations to ensure correct quality outputs. New measuring equipment will also be used to collect data that will feed into intelligent decision-support to optimise manufacturing in smart factories and their ecosystems, which are characterised by smart logistics operations.

Objective

Smart factories are characterised by smart processes, smart machines, smart tools and smart products as well as smart logistics operations. These generate large amounts of data, which can be used for analysis and fault prevention, as well as the optimisation of the quality of manufacturing processes and products.
DAT4.ZERO is a Digitally-enhanced Quality Management System (DQM) that gathers and organizes data from a Distributed Multi-sensor Network, which, when combined with a DQM Toolkit and Modeling and Simulation Layer, and further integrated with existing Cyber-Physical Systems (CPS), offers adequate levels of data accuracy and precision for effective decision-support and problem-solving – utilizing smart, dynamic feedback and feed-forward mechanisms to contribute towards the achievement of Zero Defect Manufacturing (ZDM) in smart factories and their ecosystems.
The aim is to Integrate smart, cost-effective sensors and actuators for process simulation, monitoring and control; develop real-time data validation and integrity strategies within actual production lines; demonstrate innovative data management strategies as an integrated approach to ZDM; & develop strategies for rapid line qualification and reconfiguration. Deployed in 5 distinct industrial pilot lines we address the following primary objective: Develop and demonstrate an innovative DQM system and deployment strategy for supporting European manufacturing industry in realizing ZDM in highly dynamic, high-value, high-mix, low-volume production contexts, by effective selection and integration of sensors and actuators for process monitoring and control, a DQM platform with an architecture that provides reliable and secure knowledge extraction to ensure integrity of data, & strategies for advanced realtime data analysis and modeling in multiple domains and sectors that will increase quality, reduce ramp-up times and decrease time-to-market.

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Call for proposal

H2020-NMBP-TR-IND-2018-2020

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Sub call

H2020-NMBP-TR-IND-2020-singlestage

Funding Scheme

IA - Innovation action

Coordinator

SINTEF MANUFACTURING AS
Net EU contribution
€ 1 698 750,00
Address
BYGNING 100, RAUFOSS INDUSTRIPARK
2830 Raufoss
Norway

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Region
Norge Innlandet Innlandet
Activity type
Research Organisations
Links
Total cost
€ 1 698 750,00

Participants (21)

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Last update: 2 January 2024

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Permalink: https://cordis.europa.eu/project/id/958363

European Union, 2024