Projects overview

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Description AUTORECON unit control will fuse data coming from a peripheral sensing network to allow resource awareness of disturbances.
Organisation DICAM UNiversity of Bologna
Comments reprogram the operation of the factory.
 Final Report Summary - AUTORECON (AUTOnomous co-operative machines for highly RECONfigurable assembly operations of the future) Result title Final Report Summary - AUTORECON (AUTOnomous co-operative machines for highly RECONfigurable assembly operations of the future)
 Flexible gripper as a whole product Result description The goals of Flexible and Reconfigurable Gripper are To increase flexibility and re configurability of resources To reduce running cost To reduce the investment cost for new product To reduce the
 RP 2.2 Embedded cognitive functions for supporting the use of machinery and robot systems in changing shop floor environments Taxon title RP 2.2 Embedded cognitive functions for supporting the use of machinery and robot systems in changing shop floor environments
 Control technologies Taxon description power and intelligence in order to come forward to the demands of increased speed and precision in manufacturing.
 Flexibility Comments reprogram the operation of the factory.
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Description during the project life-time and beyond, to ensure an effective implementation at programme level; > identification of future FoF priorities within the technological areas of the addressed clusters and
Organisation Steinbeis 2i GmbH of Steinbeis Innovation gGmbH
Comments Manufacturing future products Manufacturing the products of the future Economic sustainability Manufacturing performance characteristics Supply chain and value network efficiency Manufacturing
 Report: Future FoF priorities within the technological areas of the clusters Result title Report: Future FoF priorities within the technological areas of the clusters
  Result description the Innovation Portal); - Definition of auxiliary “data structures” needed to fill in with details the main abovementioned elements; - Creation of relations among tables of the database; - Definition Result acronym Clustering Model and Database
 Manufacturing the products of the future Taxon title Manufacturing the products of the future
 Domain 5: Human-centric manufacturing Taxon description At the core of future manufacturing is the information generated in the factory environment, which needs to be managed and adequately transformed from the data level to the knowledge level.
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Description The general objective of Bio-Uptake project is to ensure a sustainable uptake (increase the use in a 39%) of bioplastic composites through boosting a twin green and digital transformation in the European
Organisation University of Limerick
 Common workshop: Bio-Uptake, Redol and Bioeconomy within the framework of the Green Week Result title Common workshop: Bio-Uptake, Redol and Bioeconomy within the framework of the Green Week Result description Registred users: 34 Link to the recorder session: https://www.youtube.com/watch?
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Description The objectives of the “Socially sustainable manufacturing for the Factories of the Future” – SO SMART are to: • Develop a socially sustainable ecosystem assessment framework, including guidelines to
Organisation Chalmers University of Technology
Comments Domain 5 - Human-centred Manufacturing Impact Workshop D5-Area 1: Workplaces of the Future Impact Workshop Domain 5 - Human-centred Manufacturing Domain 5: Human-centric manufacturing FoF Partnership
 Final Report Summary - SO SMART (Socially sustainable manufacturing for the Factories of the Future – SO SMART) Result title Final Report Summary - SO SMART (Socially sustainable manufacturing for the Factories of the Future – SO SMART)
 RP 5.5 New recommendation systems for the European workforce Taxon title RP 5.5 New recommendation systems for the European workforce
 Domain 5: Human-centric manufacturing Taxon description At the core of future manufacturing is the information generated in the factory environment, which needs to be managed and adequately transformed from the data level to the knowledge level.
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Description 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.
Organisation INTERNATIONAL DATA SPACES EV
 A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0 Result title A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0
 Periodic Reporting for period 1 - DAT4.ZERO (Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems) Result description These generate large amounts of data, which can be used for analysis and fault...
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Description DiCiM project revolves around the value use and value recovery phases of the Circular Value Model (CVM) with the specific data, technology and the management needed to support its implementation.
Organisation University of Ljubljana, Faculty of Mechanical engineering
 Initial data management plan Result title Initial data management plan Result description This report will outline the plan for setting up open access repository for data and publications in the project DMP will include information on the handling of research data during after the end of the
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Description Perceive: Identify and recognize processes/resources/environment and their status by introducing Big Data, Real Time Integration & Communication Architecture, Digital Twins and Human in the Loop techniques
Organisation TEACHING FACTORY COMPETENCE CENTERUPSKILLING AND TRAINING DEVELOPMENTAND IMPLEMENTATION OF ADVANCED TECHNOLOGIES FOR THE MANUFACTURING IND
 EFFRA - The manufacturing partnership day Result title EFFRA - The manufacturing partnership day Result acronym EFFRA - The manufacturing partnership day
 ADRF 2023 Result description , and enthusiasts from the AI, Data, and Robotics community.
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Description This method also has a potential to improve the metallurgical quality and reduce the quantity of residues and low of cost of materials.
Organisation NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY MISIS
Comments Manufacturing the products of the future Manufacturing future products New nanoalloys of non ferrous metals (Al & Mg) with improved mechanical properties by Low Pressure Die Casting and Squeeze Casting
 Final Report Summary - EFEVE (Development of a new high performance material associated to a new technological Energetic, Flexible, Economical, Versatile and Ecological process to make super strong and lightweight components) Result title Final Report Summary - EFEVE (Development of a new high performance material associated to a new technological Energetic, Flexible, Economical, Versatile and Ecological process to make super strong and
 Manufacturing the products of the future Taxon title Manufacturing the products of the future
 RP 1.9 Integrated manufacturing processes Taxon description in process concept: inspection, thermal treatment, stress relieving, machining and joining) will provide a means to reduce manufacturing time to market and increase the quality on the work piece.
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Description The reliability of data will be checked in two layers: in real time and based on historical and statistical analysis of the data streams (InterQ-Data module).
Organisation DATATHINGS SARL
Comments responsive and smart factories & supply chains R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of
 A Systematic Review of Secure IoT Data Sharing Result title A Systematic Review of Secure IoT Data Sharing
 Sensorised tool holder for force measurement in grinding processes with high sensitive bending moment signals Result description with sensor data • Time-Data basis for synchronized storage of collected sensor, machine, and process data • Specific KPI algorithms software to detect grinding tool wear (tool condition
 Historical & Statistical data filtering and analysis software Result acronym KASEM Data Quality
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Description OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured
Organisation Advanced data processing GmbH
Comments Digital, Virtual and Resource-efficient Factories project_id_EC super_admin project_rcn_EC super_admin topic_EC super_admin FoF-08-2015 call_EC super_admin H2020-FoF-2015 deliverableType_EC super_admin Data
 Periodic Reporting for period 2 - OPTIMISED (Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data) Result title Periodic Reporting for period 2 - OPTIMISED (Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data) Result description technology, simulation in the form of a digital twin, data analytics...
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 Domain 3: Digital, virtual and resource-efficient factories Taxon description The set of research priorities under this domain focuses on factory design, data collection and management, operation and planning, from real-time to long term optimisation approaches.
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Description i4Q Project aims to provide an IoT-based Reliable Industrial Data Services (RIDS), a complete suite consisting of 22 i4Q Solutions, able to manage the huge amount of industrial data coming from cheap cost-effective
 Industrial data services for quality control in smart manufacturing–the i4q framework. Result title Industrial data services for quality control in smart manufacturing–the i4q framework.
 i4Q Data Quality Guidelines Result description i4Q Data Quality Guidelines
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Description the secure and seamless exchange of manufacturing/product/business data within value-networks in a circular-economy ecosystem; 3) integrating novel hardware technologies into the digital thread, to
Organisation Eindhoven University of Technology
 Circular Data Space Result title Circular Data Space Result description An IDS-based data space to promote and facilitate the collection, ownership, and secure exchange of manufacturing / product / business data within value-networks.
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Description In this context FALCON envisions to provide a framework to enable the realization of new products and value-adding services, resulting from user-experiences and product and related services usage; undertaken
Organisation DATAPIXEL SL
Comments The field data contain valuable information about the usage and quality of individual devices and their subsystems. This information needs to be extracted through data analytics.
 Taking Advantage of Data Generated by Products: Trends, Opportunities and Challenges Result title Taking Advantage of Data Generated by Products: Trends, Opportunities and Challenges
 FALCON semantic concept definition document Result description In this report domain boundaries for each application are defined, and all products, processes, data sources and resources are identified.
 Data acquisition Taxon title Data acquisition
 RP 6.10 Customer focused products quality assessment standards and tools Taxon description Such research aims to produce new fast and reliable standardisation data systems enclosing multiple sources of specifications to provide maximal information and value along the product chain. Comments The field data contain valuable information about the usage and quality of individual devices and their subsystems. This information needs to be extracted through data analytics.
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Description In addition, the physical modules and the processes addressed by those will be replicated digitally through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary
Organisation University of Southern Denmark
 Creation of cluster with sister projects Result title Creation of cluster with sister projects
 Automation of products' sorting and distribution for olives provider Result description Their production supply chain consists of several stages, most of them performed manually, from the olives reception to their packaging and palletization for their further delivery to the consumers
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Description of the Production System Model afore mentioned in the second Pillar); 4) Development of the CTC woodwork machining system, capable to empower the Close to the Customer concept; 5) Development of the CTC
Organisation University of applied sciences and arts of southern switzerland (SUPSI)
Comments system thanks to the application of the new suction hood Reduction of CO2 emissions (in %) Additional KPIs Contribution to the reduction of energy use and CO2 emissions use of wood panels deriving from
 Final Report Summary - CTC (Local flexible manufacturing of green personalized furniture Close To the Customer in time, space and cost.) Result title Final Report Summary - CTC (Local flexible manufacturing of green personalized furniture Close To the Customer in time, space and cost.)
 High efficient suction hood Result description Extraction hood that can be opened sideways in the lower part. In this way, rabbets and freeform contours can be milled. The suction hood allows up to 99.7% removal of chip.
 Manufacturing the products of the future Taxon title Manufacturing the products of the future
 RP 6.9 On-demand manufacturing of customer-centric products Taxon description Design tools should identify and transfer key consumer requirements and collected data from suppliers into automated process routines.
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Description spaces across all phases of product and process lifecycle, proposing 'Data as a Product' core concept to facilitate the implementation of digital continuity across digital threads, data spaces
Organisation INTERNATIONAL DATA SPACES EV
 White Paper on the Definition of Data Intermediation Services Result title White Paper on the Definition of Data Intermediation Services
 "Resilient &a sustainable ""Data as a Product"" computing and data space" Result description This document will report on the definition and building of RE4DY Data Connection Profiles DCP and Data as a product containers and open toolware
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Description The industrialisation of Additive Manufacturing (AM) requires a holistic data management and integrated automation.
Organisation THE UNIVERSITY OF SHEFFIELD
Comments R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories
 AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing Result title AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing
 Towards a Digital Twin for Thermal Processes: Control-centric approach Result description , Alexios; Stavropoulos, PanagiotisJournal title: 7th CIRP Global Web Conference “Towards shifted production value stream patterns through inference of data, models, and technologyJournal number: 1Journal
 Liaisons C with ISO/TC 261 Result acronym Liaisons C: Organizations that make a technical contribution to and participate actively in the work of a working group.
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Description sharing data across value chains, resulting in a significant increase in amount of data shared, and breaking silos.
 Periodic Reporting for period 1 - i4Trust (Incubator of Trusted B2B Data Sharing ecosystems of collaborating SMEs linked to Digital Innovation Hubs) Result title Periodic Reporting for period 1 - i4Trust (Incubator of Trusted B2B Data Sharing ecosystems of collaborating SMEs linked to Digital Innovation Hubs) Result description i4Trust (https://i4trust.org/) provides a complete framework which, combined with education, coaching and initial funding, will boost the creation of Data Spaces for trustworthy and effective data sharing
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Description EFFRA recommendations on Factories 4.0 and Beyond (Sept 2016) clearly stated the need for development of large scale experimentation and demonstration of data-driven 'connected smart' Factories
Organisation INTERNATIONAL DATA SPACES EV
 A Self-Adapted Swarm Architecture to Handle Big Data for “Factories of the Future” Result title A Self-Adapted Swarm Architecture to Handle Big Data for “Factories of the Future”
 Periodic Reporting for period 2 - BOOST 4.0 (Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0) Result description With a 20M€ budget and leveraging 100M€ of private investment, Boost4.0 will lead the construction of the European Industrial Data Space to...
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Description The main goal is to build an autonomous quality model to meet the Industry 4.0 ZDM challenges.
Organisation INTERNATIONAL DATA SPACES EV
Comments Advanced material processing technologies Information and communication technologies Technologies and enablers Digital manufacturing platforms - data platforms Technologies and enablers Data spaces
 Video recording - Data Spaces for Additive Manufacturing Machinery in QU4LITY project Result title Video recording - Data Spaces for Additive Manufacturing Machinery in QU4LITY project
 Open, Secure Industrial Data Space for ZDM (Version 1) Result description Report and prototype implementation of Industrial data spaces customized for ZDM based on T5.5;
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Description One of the most imperative problems so far is to connect supply chain data and services between enterprises and to connect value chain data within a factory so that it can meaningfully support decision-making
Organisation UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Comments IPR, ownership and protection of data.
 Smart Data and the Industrial Internet of Things Result title Smart Data and the Industrial Internet of Things
 D7.3 Survey of successful elements with recommendations for COMPOSITION use cases III Result description identified in the context of Industrial Internet and Digital Automation, mainly FIWARE4Industry and International Data Spaces (previously called Industrial Data Spaces – IDS).
 Data analytics Taxon title Data analytics
 RP 5.8 Enhanced Visualisation of complex Manufacturing and Production data Taxon description Aspects of data mining and data management have to be considered in the context of this process.
 Business model aspects of digital platform deployment Comments IPR, ownership and protection of data.