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.
Resources Show all and search (27)
Unfold all
/
Fold all
Exploitable result(s)
Key exploitable technology-approach
Result items:
DQM Core
DQM Core
Data Management System
Data Management System
Design and development of in-line measurement systems for highly reflective surfaces
Design and development of in-line measurement systems for highly reflective surfaces
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digitally-enhanced monitoring system
Digitally-enhanced monitoring system
Key documentation on exploitable results
Result items:
Data Management System
Data Management System
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)
Key exploitable technology-approach
Result items:
DQM Core
DQM Core
Data Management System
Data Management System
Design and development of in-line measurement systems for highly reflective surfaces
Design and development of in-line measurement systems for highly reflective surfaces
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digitally-enhanced monitoring system
Digitally-enhanced monitoring system
Key documentation on exploitable results
Result items:
Data Management System
Data Management System
Presentation
Report
Result items:
Handbook online and internal web portal for partners interaction
Handbook online and internal web portal for partners interaction
project Website
project Website
Publication
Result items:
A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0
A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards

https://dl.acm.org/doi/10.1145/3617573.3618029

Digitally-enhanced monitoring system
Digitally-enhanced monitoring system

Publication on projects website: “Cutting-Edge Technologies for Predicting and Preventing Manufacturing Defects”.

Effect of work-force availability on manufacturing systems operations of job shops
Effect of work-force availability on manufacturing systems operations of job shops
Other medium
Innovation Action (IA)

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

Zero-defect project cluster
Standards
Information and communication technologies
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data collection, storage, analytics, processing and AI
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digitally-enhanced monitoring system
Digitally-enhanced monitoring system
Data processing
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data acquisition
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data analytics
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data modelling
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data storage
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Cognitive and artificial intelligence (AI) technologies - machine learning
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Telecommunications
IoT - Internet of Things
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digitally-enhanced monitoring system
Digitally-enhanced monitoring system
Human Machine Interfaces
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data visualisation
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data spaces
Digital manufacturing platforms - data platforms
Advanced material processing technologies
Engineering tools
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
System modelling - digital twins, simulation
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Knowledge-workers and operators
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Smart and Analytical operator
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Added value - impact - value proposition
MiE_25-27_RP01: Sustainable value network resilience and competitiveness through robust and flexible production technologies
MiE_25-27_RP02: Excellent productive and flexible Manufacturing automation for open strategic autonomy
MiE_25-27_RP03: Recovering and preserving the European leadership in strategic and high value added products
MiE_25-27_RP08: Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins
MiE_25-27_RP09: Life-cycle management of manufacturing solutions and associated services for flexible, productive and sustainable manufacturing industry
MiE_25-27_RP10: Data spaces and cloud/edge solutions for responsive and robust manufacturing
MiE_25-27_RP11: Digitally enabled compliance and integration of innovative manufacturing solutions
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)
Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems
Search
Search on Google
Search on Bing
Search on DuckDuckGo
Contacts
Not specified (see website if available)
Latest news
No news messages yet.

Go to project news
Organisations
Show all (22)
Powered by Chris Decubber BV