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).
Publications
year
authors and title
journal
last update
List of publications.
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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