DAT4.ZERO | Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

Summary

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.
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/958363
https://dat4zero.eu
Start date: 01-10-2020
End date: 31-03-2024
Total budget - Public funding: 11 815 903,00 Euro - 9 886 512,00 Euro
Twitter: @dat4zero
Cordis data

Original description

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.

Status

SIGNED

Call topic

DT-FOF-11-2020

Update Date

27-10-2022
Geographical location(s)
Structured mapping
Unfold all
/
Fold all

Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FoF-2020
DT-FOF-11-2020 Quality control in smart manufacturing (IA)
Innovation Action (IA)

Project clusters are groups of projects that cooperate by organising events, generating joint papers, etc...

Zero-defect project cluster
Standards
Telecommunications
Data spaces
Digital manufacturing platforms - data platforms
Advanced material processing technologies
Added value - impact - value proposition
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-NMBP-TR-IND-2020-singlestage
DT-FOF-11-2020 Quality control in smart manufacturing (IA)