Projects
ONGOING
TURBO
Wind turbines are already part of everyday European life and are an essential element of the strategy to meet the Green Deal targets. Wind turbine blade size is steadily increasing with the largest new offshore blades >100 m in length. Composite blades are manufactured using resin infusion and coating processes. Even using modern manufacturing methods, these are subject to defects which result in re-work, scrap and repair. TURBO will reduce defect formation through better process simulation, monitoring and control, improve defect identification with new methods of non-destructive testing and introduce novel repair strategies in composites and coatings.
ONGOING
FLASH-COMP
The aim of the project is to bring novel digital technologies to the liquid resin infusion process (LRI), one of the most widely used manufacturing processes using composite materials. By bringing advanced automated controls and in-line defect monitoring and detection to the LRI process, FLASH-COMP will allow industry to cut material waste significantly, while also improving efficiencies in the process and the quality of products produced.
ONGOING
Platform-ZERO
Platform-ZERO aims to improve the overall production quality of photovoltaic devices and to lower fabrication costs through zero-defect manufacturing. This will be achieved by applying in-line process monitoring, control and artificial intelligence strategies, and implemented in four different pilot plants in four European countries
ONGOING
rEED
The REED Project focuses on transforming the manufacturing of large and complex parts in the capital goods industry by creating an innovative Manufacturing as a Service (MaaS) platform. This platform will connect manufacturers with enabling technologies, equipment, and services, improving efficiency, precision, and sustainability in the production of bulky components. By redefining traditional supply chains into flexible and responsive value networks, REED promotes collaboration, increases productivity, and minimises environmental impact while ensuring the high-quality standards required in sectors like energy, transportation, and heavy machinery.
ONGOING
MaaSAI
Agile Manufacturing as a Service through AI Autonomous Agents – Manufacturers today face numerous challenges, including high investment costs and inflexible production processes that hinder their ability to adapt to changing market demands. In this context, the EU-funded MaaSAI project addresses these issues by developing a comprehensive digital platform designed to automate interactions between suppliers and manufacturing companies within a Manufacturing as a Service (MaaS) ecosystem. By leveraging explainable AI, the MaaSAI System facilitates agile and transparent negotiations over manufacturing capacities, enabling on-demand sustainable production. This innovative approach optimises resource utilisation, supports the transition towards circular manufacturing and significantly lowers entry barriers for SMEs. The system will be piloted across various sectors, showcasing its potential to revolutionise the manufacturing landscape in Europe.
ONGOING
UniMaaS
Manufacturing in Europe should urgently address the following challenges towards the adoption of the Manufacturing as a Service paradigm: product customisation, circularity and sustainability, minimal downtime, predictive maintenance, seamless communication, reliability and robustness to uncertainties in demand and variability of resources, and cost reduction and performance optimisation. Unified Modeling and Automated Scheduling for Manufacturing as a Service (UniMaaS) project will develop a platform with a set of advanced technologies for offering flexible and decentralized manufacturing resources and supply chains as a Service to European SMEs and Industries. To realize this vision, the proposed platform will deploy 3 integrated Suites: (i) Data Modelling Suite: offering manufacturing dataspaces, cloud-based resource monitoring, trusted cross-company data exchange and digital product passport, (ii) Modelling Suite: offering modular modeling of manufacturing resources, intent-based servitization , AI-based estimations and Zero-X analysis, and (iii) Decision-Making Suite: offering scheduling and planning of manufacturing resources, circularity and sustainability optimization. The platform will adopt advanced digital technologies such as cloud computing, digital twins and trustworthy AI, as key enablers towards fulfilling its objectives. UniMaaS platform will provide easy access to customized manufacturing service chain and will support the entire life-cycle management of processes and products. The UniMaaS Suites and the Platform will be demonstrated in 4 Pilots including aircraft maintenance, automotive seating, 3D construction printing and logistics/warehouse management.
COMPLETED
PENELOPE
PENELOPE is a flagship project for the implementation of Pilot lines for large-part high-precision manufacturing, involving a consortium of 31 Partners from 10 EU countries. PENELOPE aims the development of a novel methodology linking product-centric data management and production planning and scheduling in a closed-loop digital pipeline by ensuring an accurate and precise manufacturability from the initial product design.
COMPLETED
ZDZW
ZDZW develops digital non-destructive inspection (NDI) services as a set of strategic technologies to improve production efficiency, zero-defect, and sustainable manufacturing of European industries.
COMPLETED
ENGINE
The overall goal of the ENGINE project is to reduce the environmental impact and improve competitiveness of metal product manufacturers by developing a novel metal product design and manufacturing system, which integrates life-cycle analysis and business decisions, reduces defects, waste, and shrinks product time-to-market. The project will develop a first-time-right and zero-defect metal product design and manufacturing system, which will be applied on marine engine supply chain
COMPLETED
OpenZDM
openZDM aims to provide an open and interoperable platform for Zero Defect Manufacturing. By leveraging digital twin technology, AI-driven defect detection, and real-time process monitoring, openZDM targets the creation of a seamless and adaptive ecosystem for defect-free, sustainable, and competitive manufacturing. The initiative focuses on data-driven decision-making, predictive maintenance, and process optimisation to ensure continuous improvement in manufacturing quality and efficiency.
COMPLETED
DAT4.zero
DAT4.ᴢᴇʀᴏ is a project supported by the European Union. The project has 20 European partners who will work to improve quality in European factories. Innovative technologies will gather and analyse data from manufacturing processes and give businesses greater control of what happens during production.
COMPLETED
CAELESTIS
Adopting a new breed of aircraft is essential for reaching climate neutrality by 2050.
Decisive improvements in aircraft performance are going to be vital if we are to safely and viably reduce emissions in the future. According to the aeronautics community, virtual prototyping has the biggest potential to be the key enabling technology in achieving these objectives and making zero carbon aviation a reality.
CAELESTIS will develop a new interlinked system able to execute massive calculations and predictions across the aviation value chain. Digital twins will then be developed with unprecedented levels of detail covering manufacturing effects and deviations. Image (c) Shutterstock)
COMPLETED
OPTIMAI
OPTIMAI aims to create a new European industry ecosystem focused on innovative solutions to optimise production, reduce defects and improve quality to safeguard European industry for generations to come.
COMPLETED
i4Q
i4Q (Industrial Data Services for Quality Control in Smart Manufacturing) is a Horizon 2020 project that aims to assist manufacturing enterprises (small, medium, or micro) with moving towards Industry 4.0 while overcoming the hurdles preventing them to do so.
COMPLETED
InterQ
The InterQ project aims to measure, predict, control and manage the quality of the manufactured products, manufacturing processes and gathered data to assure Zero-Defect-Manufacturing through all the value chain. It proposes a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools, powered with meaningful and reliable data, to assure the quality in smart factories in a holistic manner.
COMPLETED
Zero Defects Manufacturing Platform
Zero Defects Manufacturing Platform (ZDMP) – is a multi-partner project that aims at providing an open platform to support factories to reach a zero defects goal. In this context, ZDMP will allow end-users to interconnect their systems (e.g. shop floor and ERP Systems) through ZDMP Applications (zApps), to improve product and process quality assurance.
