The CyclOps Project represents a European initiative that works towards addressing the critical challenges industries face in managing and utilising vast amounts of data. Traditional data governance systems often struggle to handle the complexity of integrating information from diverse sources, leading to inefficiencies and underutilised potential. CyclOps tackles this by introducing cutting-edge tools that automate data lifecycle management, ensure secure and interoperable data sharing, and promote advanced analytics. This approach empowers industries to optimise operations, enhance sustainability, and drive European economic competitiveness.
CyclOps seeks to transform how organisations interact with and benefit from their data. By introducing automated, interoperable systems and utilising technologies like knowledge graphs and AI, the project facilitates seamless data sharing while adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable). These innovations enable industries to extract actionable insights and unlock new business opportunities while maintaining data sovereignty. CyclOps demonstrates its effectiveness through Use Case 4 (UC4), which focuses on developing a Manufacturing Data Space (MDS) to optimize the offset printing industry’s data-driven processes.
The European manufacturing sector faces growing pressures from rising operational costs, global competition, and stringent environmental regulations. Despite generating significant data, many companies lack the tools to utilize this information effectively for optimization. CyclΟps directly addresses these issues by offering solutions that enhance operational efficiency and promote sustainability.
CyclOps is pivotal in creating an MDS designed specifically for the offset printing industry. Key consortium members for this UC include Four Dot Infinity (FDI) and the Center for Research & Technology Hellas (CERTH) as technical partners and Pressious Arvanitidis S.A. and Colorprint S.A. as the UC providers. Utilising CyclOps, the partners aim to implement predictive maintenance for printing machines while optimising the factory supply chains to reduce production downtime and support sustainability efforts.
The work involves enabling Zero-Defect Manufacturing (ZDM) principles through federated learning and transfer learning models. By analysing operational factory data from Pressious Arvanitidis S.A. and Colorprint S.A., the project aims to create a robust framework that minimises downtime and enhances production efficiency. Additionally, the tools developed within CyclOps are designed to be user-friendly, even for non-experts. The goal is to automate processes, reducing the need for manual task inputs and improving overall time efficiency. Furthermore, integrating sustainability practices, such as reducing material waste, aligns with the broader goals of the European Green Deal.
The innovations from this UC reach far beyond the boundaries of offset printing. CyclΟps provides a blueprint for other industries to embrace similar frameworks by showcasing how data spaces can solve real-world manufacturing challenges. This approach boosts the efficiency and sustainability of specific sectors and demonstrates the broader value of data-driven solutions. Through this work, CyclΟps strengthens Europe’s industrial resilience and reaffirms its leadership role in the evolving global data economy.
