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Monday-Friday: 9am to 5pm
Saturday: 10am to 2pm
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Early digitalisation and the integration of automated, intelligent clamping systems into manufacturing processes enable companies to reduce set-up times, improve process stability and strengthen their competitiveness in the long term.
The world of heavy-duty machining is undergoing a silent revolution. For years, the challenge of manufacturing bulky, high-precision parts has been defined by a paradox: while the demand for these components -from aerospace structures to energy generation systems- is skyrocketing, the expertise and specialized technology required to produce them remain concentrated in just a few hands. At the recent BIEMH 2026 (International Machine-Tool Exhibition), Soraluce demonstrated that the future of this sector isn't just about bigger machines, but about smarter access to technology.
The REED project enables a dynamic, interoperable, and trustworthy Product Carbon Footprint by integrating life cycle assessment-based data into the Digital Product Passport using standardized Asset Administration Shell Submodel Templates and blockchain‑secured traceability.
The 2LC blogpost explains how REED integrates real-time sensor data with dynamic Life Cycle Assessment to deliver continuously updated environmental insights and CO₂ tracking through Digital Product Passports, enabling smarter, more transparent, and more sustainable manufacturing decisions.
The REED platform is revolutionizing European manufacturing by integrating fragmented digital services—like digital twins, environmental monitoring, and AI-powered tools—into a unified, secure ecosystem that enables seamless collaboration, real-time data sharing, and enhanced competitiveness for SMEs and industry alike.
The REED Operational Framework creates a cohesive, flexible ecosystem out of diverse industrial processes. This framework creates a smooth transition from order inception to execution to performance monitoring by integrating decentralized scheduling, digital twins, process tracking, environmental-impact analytics, and AI-driven feedback. This allows for quick partner matching, real-time coordination, and proactive systemwide oversight.