The Twin4Twin (T4T) project, funded under the Widening programme of Horizon Europe, aims to accelerate the adoption of digital twin technologies for smart manufacturing by fostering knowledge exchange, advanced research, and strong industrial ecosystems across Europe. A key contributor to this effort is SCCH (Software Competence Center Hagenberg), whose role spans both strategic capacity building and cutting-edge technological innovation. This role has been explained in detail in the following video interview and has also been summarized in the following paragraphs.
SCCH as a Knowledge Transfer Catalyst
One of SCCH’s central responsibilities in Twin4Twin is know-how transfer among consortium partners. In particular, SCCH supports the Greek project coordinator CORE in establishing and strengthening a Greek Smart Factory ecosystem. Drawing on its long-standing expertise in applied research and industrial collaboration, SCCH provides guidance on structuring innovation ecosystems, connecting research with industry, and translating advanced technologies into practical manufacturing solutions.
Importantly, Twin4Twin has demonstrated that this exchange is not a one-way process. Instead, SCCH highlights the multi-directional nature of learning within the consortium: each partner contributes expertise while simultaneously benefiting from the knowledge, experience, and perspectives of others. This collaborative dynamic significantly strengthens the overall impact of the project.
Advancing Digital Twins Through Real-Time Data Processing
Beyond coordination and capacity building, SCCH plays a major research and innovation role, particularly in the development of digital twins for real smart manufacturing environments. A critical aspect of this work is real-time data processing, which enables digital twins to remain continuously synchronized with their physical counterparts.
As explained by Georgios Chasparis, real-time feedback from temperature sensors, laser power measurements, and material behavior allows digital twins to support process optimization, error detection, and faster decision-making. This capability is essential in Twin4Twin, where manufacturing processes are highly dynamic and data-intensive. By keeping the virtual model aligned with the real process, manufacturers can save both time and resources while improving quality and reliability.
Tackling Big Data Challenges in Manufacturing
The application of Big Data in industrial environments presents significant challenges: high data volumes, high sampling frequencies, heterogeneous data sources, and large numbers of sensors. In Twin4Twin, these challenges are amplified by the need to combine numerical sensor data with image data from manufacturing processes.
SCCH contributes by introducing robust data management architectures and advanced analytical tools that enable reliable data processing and near real-time analytics. These solutions help transform complex, heterogeneous data streams into actionable insights, making digital twins truly usable in demanding industrial settings.
Innovation with Impact — for Twin4Twin and Beyond
SCCH’s technological innovation within Twin4Twin focuses on the integration of advanced AI models and real-time analytics into digital twin frameworks. This strengthens the project’s technological foundation while ensuring that the developed solutions are scalable and relevant for real industrial use cases.
Crucially, SCCH also acts as a multiplier of impact: the know-how and technologies developed within Twin4Twin are systematically transferred to its broader industrial partner network, extending the project’s benefits well beyond the consortium.
At the same time, Twin4Twin supports SCCH’s own organisational and process innovation goals, helping the center remain a highly valuable and trusted research partner for both industry and academia. The continuous exchange of expertise within the project reinforces SCCH’s ability to adapt, evolve, and lead in applied digital manufacturing research.
A Collaborative Path Toward Smarter Industry
In summary, SCCH’s role in Twin4Twin is both strategic and technological: enabling ecosystem development, driving digital twin research, addressing Big Data challenges, and ensuring that innovation reaches industry. Through this dual contribution, SCCH helps position Twin4Twin as a strong example of how collaborative European research can accelerate the transition toward intelligent, data-driven manufacturing.
My Journey with Intelligent Decision Support Systems 
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