UniMaaS Project
Enable the transition to Manufacturing-as-a-Service by combining trustworthy AI, digital twins, and interoperable manufacturing dataspaces into a unified, scalable platform.
UniMaaS Official Logo
Unified Modeling and Automated Scheduling for Manufacturing as a Service
Project Details
Funded under: Horizon Europe
Project ID: 101177842
Start Day: 01/01/2025
Project Duration: 3 Years
Tags: Smart Manufacturing, AI, MaaS
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
The Story
European manufacturing is under increasing pressure to become more flexible, sustainable, and resilient. Companies must support product customization, reduce downtime, improve predictive maintenance, and ensure circularity, while operating across fragmented supply chains and distributed resources. At the same time, limited interoperability, lack of trusted cross-company data exchange, and inefficient scheduling mechanisms prevent manufacturers from fully adopting the Manufacturing-as-a-Service (MaaS) paradigm.
UniMaaS addresses this gap by developing a unified platform that enables decentralized manufacturing resources and supply chains to operate “as a Service.” By integrating advanced modeling, AI-driven decision-making, and secure data-sharing mechanisms, the project helps European SMEs and industries improve efficiency, reliability, and sustainability across the entire manufacturing lifecycle.
Project Overview
Unified Modeling and Automated Scheduling for Manufacturing as a Service (UniMaaS) delivers an integrated digital platform designed to transform how manufacturing resources and supply chains are modeled, coordinated, and optimized. The platform enables flexible and decentralized manufacturing ecosystems, allowing companies to access customized manufacturing service chains while maintaining operational control and data sovereignty.
The architecture of UniMaaS is structured around three tightly integrated Suites.
The Data Modelling Suite establishes the foundation for trusted collaboration through manufacturing dataspaces, cloud-based resource monitoring, and secure cross-company data exchange. It also introduces Digital Product Passports to support traceability, lifecycle transparency, and sustainability reporting across value chains.
Building on this foundation, the Modelling Suite provides modular modeling of manufacturing resources and processes. It enables intent-based servitization, AI-based estimations, & advanced analysis capabilities, allowing organizations to simulate, evaluate, and configure service-oriented manufacturing scenarios with greater precision & flexibility.
The Decision-Making Suite focuses on intelligent scheduling and planning of distributed manufacturing resources. By integrating AI-driven optimization mechanisms, it supports performance optimization, circularity strategies, and sustainability-aware decision-making under uncertain demand and resource variability.
The platform leverages cloud computing, digital twins, and trustworthy AI technologies as core enablers. UniMaaS will be validated across four industrial pilots in aircraft maintenance, automotive seating, 3D construction printing, and logistics and warehouse management, demonstrating its adaptability across diverse manufacturing domains.
Our Contribution
FDI leads the project’s Communication, Exploitation, and Standardization activities, operating them as an integrated “go-to-market” workflow to ensure long-term sustainability and impact.
The Results
UniMaaS establishes a unified and intelligent foundation for Manufacturing as a Service in Europe.
Project’s Progress so far
Consortium Partners
