AFFILIATION

KYKLOS 4.0 will demonstrate, in a realistic, measurable, and replicable way the transformative effects that CPS, PLM, LCA, AR and AI technologies and methodologies will have to the Circular Manufacturing (CM)Framework. To this end, KYKLOS 4.0 will (1) perform large-scale piloting in 7 pilots to demonstrate the technical, environmental and economic viability of KYKLOS 4.0 Ecosystem to reshape intra-factory processes and services, (2) show KYKLOS 4.0 value in terms of operational efficiency improvements by at least 15%, (3) deliver resources reusable solutions (second use of material, part and components reuse) for the whole manufacturing sectors, (4) ensure scalability for future scale of novel CM technologies and services at least at the level of year 2024, (5) engage over 100 key European industry actors, (through open calls and workshops) (6) transfer knowledge and technology to increase use of KYKLOS 4.0 Ecosystem to at least 50%, (7) strengthen the position of EU CM technologies providers and sector fostering a market share of up to 12% (8) pursue a strong plan for sustainability by incubating at least 3 post-project replication sites, (9) mobilize additional sector investments of at least 6 times the EC contribution.
Bringing together knowledge and solutions of major European CPS, PLM, LCA and AI technology providers together with the competence and experience of key European industry players in the CM domain, KYKLOS 4.0 will demonstrate a measurable increase of KYKLOS 4.0 Ecosystem penetration in CM market, reduction of environmental impact due to the reduce of the use of fossil fuels and raw materials and impact in seven pilot domains, which cover areas of major importance for the CM sector in EuropeA unique characteristic of KYKLOS 4.0 is that all CM related technologies, sectors and stakeholders together with their relevant expertise are covered. Thereby, the delivered by KYKLOS 4.0 are relevant for the whole manufacturing sector and market in Europe.

The eFactory project The eFactory project realises a federated smart factory ecosystem by primarily interlinking 4 smart factory platforms, from the FoF-11-2016 cluster, through an open and interoperable Data Spine. The federation of the 4 base platforms is complemented by industrial platforms, collaboration tools and smart factory systems, specifically selected to support connected factories in lot-size-one manufacturing. The federated eFactory platform delivers enhances value and reduces the barrier to innovation by providing seamless access to services and solutions that are currently dispersed. In parallel the platform provides the necessary infrastructure, tools and support for novel service creation and validations by third parties. Further, by fostering healthy competition in the smart factory ecosystem, the eFactory platform will ensure that the needs of the evolving smart manufacturing industry are met for the long term. The eFactory federation is offered to the manufacturing and logistic companies as an open platform; to utilise the offered functionality, experiment with innovation approaches and develop custom solutions based on specific needs. The project demonstrates the power of federation through 3 embedded large scale pilots focusing on lot-size-one manufacturing and sustainable value networks in diverse sectors, while a cross sectorial circular economy pilot is also incorporated. The results of the pilots are openly made available as lessons learned and best practices. The creation of the European smart factory ecosystem is supported by offering interested companies technical and financial support. A dedicated budget is allocated to offer financial support to companies who are interested in using the eFactory platform to enhance their businesses. The project is primarily composed of SMEs who have the agility to quickly react and adopt innovative solutions, while experience and market reach of big players such as Airbus and Siemens is also leveraged.

Smart, SME Friendly, open, Zero-Defect Manufacturing Reference Platform, Apps, SDK, and Marketplace for Product and Process Quality in any factory for achieving excellence in European and Global Manufacturing The ZDMP project combines state of the art technological approaches based on commercial grade standard or open-source or previous-project software with an innovative integration concept based on proven and integrating technologies. It provides Process and Product Quality support on top of a platform layer. These all can utilise ZDMP core services which can also be used to build ZD Apps which are placed on the ZD Marketplace. The ultimate aim is to establish a sustainable business and technological approach at the end of the project and launch “ZDMP Limited” assisted by the possibility of a crowdsourcing approach and ZDMP ambassadors. ZDMPs pan-European consortium entails ICT Technology SMEs (ICE, ASC, SOFT), Manufacturing/ZD Technology SMEs (PROF, CET, VSYS), Technology Corporates (SAG, Scale Focus), 4 Sector and Cross-Domain Use cases (14 Partners SME/Large from Automotive, Machine Tools, Construction, Electronics), Researchers/Associations (IKERLAN, ITI, UNINOVA, TUT, and UPV), specialists (DIN – German Standards, Rooter – Regulation, UOS-ITI – Call Management). ZDMP also is supported by the Coordinating partners of FOF projects CREMA, vf-OS, and C2NET.

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).

Despite the proclaimed benefits (i.e. scalability, reliability, cost-effectiveness) of Future Internet (FI) technologies (i.e. edge & cloud computing, IoT/CPS) for factory automation, their adoption from manufacturers remains low for various reasons, including technology issues (e.g., poor situation awareness, limited deployments, no standards-based reference implementations) and the lack of a smooth migration path from legacy systems.
FAR-EDGE is a joint effort of leading experts in manufacturing, industrial automation and FI technologies towards the smooth and wider adoption of virtualized factory automation solutions based on FI technologies. It will research a novel factory automation platform based on edge computing architectures and IoT/CPS technologies. FAR-EDGE will provide a reference implementation of emerging standards-based solutions for industrial automation (RAMI 4.0, Industrial Internet Consortium reference architecture), along with simulation services for validating automation architectures and production scheduling scenarios.
FAR-EDGE will lower the barriers for manufacturers to move towards Industrie 4.0, as a means of facilitating mass-customization and reshoring. Emphasis will be paid in the study of migration options from legacy centralized architectures, to emerging FAR-EDGE based ones.
FAR-EDGE will be validated in real-life plants (VOLVO, WHIRLPOOL) in the scope of user-driven scenarios (business-cases) for mass-customization and reshoring, where tangible improvements relating to reliability, productivity increase, quality cost, reduction in adaptation effort/costs will be measured and evaluated. Also, a wide range of migration scenarios will be evaluated in the scope of a CPS manufacturing testbed.
FAR-EDGE will also establish a unique ecosystem for FI factory automation solutions, which will bring together the FoF and FI communities (e.g., EFFRA, Industrie 4.0, AIOTI, ARTEMIS JU) and will ensure sustainability of FAR-EDGE results.

The advent of Industrie4.0 provides opportunities for adopting predictive maintenance (PdM), which represents the ultimate maintenance vision for manufacturers and machine vendors. Nevertheless, there are still barriers to successful deployment including the issues of data fragmentation, limited data interoperability, poor deployment of advanced analytics and lack of effective integration with other systems at the enterprise and field levels.
PROPHESY will deliver and validate (in two complex demonstrators) in real plants a PdM services platform, which will alleviate these issues based on the following innovations:
• A CPS platform optimized for PdM activities (PROPHESY-CPS), which will enable maintenance driven real-time control, large scale distributed data collection and processing, as well as improved production processes driven by maintenance predictions and FMECA activities.
• Novel Machine Learning and Statistical Data processing techniques for PdM (PROPHESY-ML), which will be able to identify invisible patterns associated with machine degradation and assets depreciation, while at the same time using them to optimize FMECA activities.
• Visualization, knowledge sharing and augmented reality (AR) services (PROPHESY-AR), which will enable remotely supported maintenance that can optimize maintenance time and costs, while increasing the safety of maintenance tasks.
• A PdM service optimization engine (PROPHESY-SOE), which will enable composition of optimal PdM solutions based on the capabilities provided by PROPHESY-CPS, PROPHESY-ML and PROPHESY-AR. Service optimization aspects will consider the whole range of factors that impact PdM effectiveness (e.g., OEE, EOL, MTBF and more).
PROPHESY will establish and expand an ecosystem of PdM stakeholders around the PROPHESY-SOE, which will serve as a basis for the wider update of the project’s results, as it will offer to the CPS manufacturing community access to innovative, turn-key solutions for PdM operations.

The ‘IoT Catalogue’ is the one-stop-source for Internet of Things (IoT) knowledge, innovations and technologies, aiming to help IoT stakeholders (developers, integrators, advisors, end-users, etc.) to take the most advantage of the Internet of Things for the benefit of society, businesses and individuals. It is an explorer for innovations in IoT applications and technologies; it is a web-based tool that enables to pick & choose IoT solutions; it is a wide repository of knowledge, use cases, contacts, etc. of the Internet of Things.
A key purpose of the ‘IoT Catalogue’ is enabling users to explore IoT solutions based on domain-related Value Propositions and/or ICT Problems described on use-cases defined along applications domains. The ‘IoT Catalogue’ also enables users to inspect solutions and technologies from other domains that might fit to their intents or analyse use-cases similar to their projects thus promoting synergies and reusability between application domains.
The ‘IoT Catalogue’ has been developed with the support of funding from the European Union’s research and innovation programmes. It was initiated in the context of the H2020 WAZIUP EU-Africa project as to catalogue and share the project’s IoT technological solutions and use cases. Since then, it has been further developed and scaled-up in EU RTD projects such as the H2020 IoF2020 IoT Large Scale Pilot to hold the results of the project’s agri-food use-cases’ synergy analysis results.

Drive on behalf of our members business, policy, research and innovation development in the IoT & Edge Computing and other converging technologies across the Digital Value Chain to support digitization in Europe, and competitiveness of Europe.

The European Factories of the Future Research Association (EFFRA) is a non-for-profit, industry-driven association promoting the development of new and innovative production technologies. EFFRA has been representing the private side of the manufacturing partnership with the EU Commission. Named under Horizon 2020, Factories of the Future to become Made in Europe nowadays under Horizon Europe.
The key objective of EFFRA is to promote pre-competitive research on production technologies within the European Research Area by engaging the European Commission through partnerships.
The Made In Europe partnership will be the voice and driver for sustainable manufacturing in Europe. It will boost European manufacturing ecosystems towards global leadership in technology, circular industries and flexibility. The Partnership will contribute to a competitive, green, digital, resilient and human-centric manufacturing industry. It will be at the centre of a twin ecological and digital transition, both a driver and subject to these changes.