Explore the words cloud of the QU4LITY project. It provides you a very rough idea of what is the project "QU4LITY" about.
The following table provides information about the project.
Coordinator |
ATOS SPAIN SA
Organization address contact info |
Coordinator Country | Spain [ES] |
Total cost | 19˙520˙535 € |
EC max contribution | 15˙998˙180 € (82%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-DT-2018-1 |
Funding Scheme | IA |
Starting year | 2019 |
Duration (year-month-day) | from 2019-01-01 to 2022-03-31 |
Take a look of project's partnership.
QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots. QU4LITY will also demonstrate how European industry can build unique and highly tailored ZDM strategies and competitive advantages (significantly increase operational efficiency, scrap reduction, prescriptive quality management, energy efficiency, defect propagation avoidance and improved smart product customer experience, and foster new digital business models; e.g. outcome-based and product servitisation) through an orchestrated open platforms ecosystem, ZDM atomized components and digital enablers (Industry 4.0 digital connectivity & edge computing package, plug & control autonomous manufacturing equipment, real-time data spaces for process monitoring & adaptation, simulation data spaces for digital process twin continuity, AI-powered analytic data spaces for cognitive digital control twin composable services, augmented worker interventions, European quality data marketplace) across all phases of product and process lifecycle (engineering, planning, operation and production) building upon the QU4LITY autonomous quality model to meet the Industry 4.0 ZDM challenges (cost and time effective brownfield ZDM deployment, flexible ZDM strategy design & adaptation, agile operation of zero defect processes & products, zero break down sustainable manufacturing process operation and human centred manufacturing).
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Luu et al. Efficient slicing of Catmull-Clark solids for 3D printed objects with functionally graded material published pages: , ISSN: , DOI: |
2020-04-07 | |
2019 |
Bediaga,I., Mugarza, J., Gerrikagoitia, J.K. Condition Based Monitoring for Zero Defects Manufacturing published pages: , ISSN: , DOI: |
2020-04-07 | |
2019 |
Andrej Gams, Simon ReberÅ¡ek, Bojan Nemec, Jure Å krabar, Rok Krhlikar, Jure SkvarÄ, AleÅ¡ Ude Robotic Learning for Increased Productivity: Autonomously Improving Speed of Robotic Visual Quality Inspection published pages: , ISSN: , DOI: |
2020-04-07 |
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The information about "QU4LITY" are provided by the European Opendata Portal: CORDIS opendata.