Periodic Reporting for period 1 - MaaSAI (Agile Manufacturing as a Service through AI Autonomous Agents)
Reporting period: 2024-12-01 to 2025-11-30
The MaaSAI project aims to develop the MaaSAI System, a comprehensive digital solution that automates and facilitates interactions between manufacturing system providers and companies within a Manufacturing-as-a-Service (MaaS) ecosystem. By extending service-oriented economy principles to manufacturing, it enables access to flexible, decentralized production capacities, reducing upfront investments while enhancing agility, efficiency, and transparency. Leveraging Explainable AI (xAI) and secure, real-time data exchange, the system supports on-demand, sustainable manufacturing, optimized resource utilization, and improved value-chain integration. The project will deliver three key exploitable results—the MaaSAI Cloud MaaS Marketplace, the MaaSAI Provider Suite, and the integrated MaaSAI System—and validate them through five industrial pilots across metal machining, mechanical power transmission, biomaterials, food processing, and electronics manufacturing. Through these innovations, the project fosters seamless collaboration in the MaaS model, ensures interoperability, robust cybersecurity, and high performance, and actively disseminates outcomes to drive awareness, knowledge transfer, and practical adoption across the manufacturing ecosystem.
Work packages WP1–WP2–WP3 ensure effective project management and coordination, guaranteeing timely, cost-efficient, and high-quality achievement of project objectives. WP4 and WP5 establish a shared project vision and define the MaaSAI Framework through state-of-the-art analysis, system specifications, KPIs, and a multi-perspective architecture. The technical work packages WP6 to WP13 develop the core MaaSAI solutions, including the Cloud MaaS Marketplace, autonomous Provider and Consumer Agents, secure data integration and communication infrastructure, factory monitoring and optimisation tools, and supply chain planning and simulation solutions. Finally, WP14–WP15 integrate and validate these solutions across the five pilots, assessing performance against requirements and KPIs, while WP16–WP17–WP18 maximise project impact through dissemination, exploitation, and standardisation activities.
Work packages WP1–WP2–WP3 ensure effective project management and coordination, guaranteeing timely, cost-efficient, and high-quality achievement of project objectives. WP4 and WP5 establish a shared project vision and define the MaaSAI Framework through state-of-the-art analysis, system specifications, KPIs, and a multi-perspective architecture. The technical work packages WP6 to WP13 develop the core MaaSAI solutions, including the Cloud MaaS Marketplace, autonomous Provider and Consumer Agents, secure data integration and communication infrastructure, factory monitoring and optimisation tools, and supply chain planning and simulation solutions. Finally, WP14–WP15 integrate and validate these solutions across the five pilots, assessing performance against requirements and KPIs, while WP16–WP17–WP18 maximise project impact through dissemination, exploitation, and standardisation activities.
During the first reporting period, WP1 successfully established the project management and coordination framework, achieving all planned objectives on time. The Project Handbook and quality procedures were implemented, contractual reporting was completed, and resources were effectively managed. Technical and scientific coordination was supported by appropriate tools, infrastructure, and quality assurance mechanisms, enabling smooth collaboration among partners. Data management, privacy, security, and legal compliance were ensured through the Data Management Plan and continuous monitoring of blockchain, AI, and ML-related activities. All WP1 deliverables (D1.1–D1.4) were submitted on time, providing a solid operational foundation. WP1 continues in the second period as WP2, maintaining active monitoring of management, quality, EU liaison, technical coordination, and data compliance.
WP4 focused on establishing a common project vision, defining the state of the art for MaaS technologies, specifying the MaaSAI System, and setting KPIs to guide solution development and validation. A shared MaaSAI Project Vision aligned partners on objectives and expected outcomes, supported by an initial risk analysis. System requirements were derived from pilot scenarios, partner expertise, and state-of-the-art analysis using structured methodologies, while KPIs aligned with ISO 22400 were defined and integrated into a dashboard. Market characteristics were analysed to support sustainability and exploitation planning. In parallel, a multi-dimensional benchmarking framework assessed existing technologies and competing solutions, while systematic analysis of needs, challenges, and limitations informed subsequent design activities in WP5.
During the same period, WP5 developed the MaaSAI Framework, defining a multi-perspective architecture covering business, usage, functional, and implementation views. The framework integrated standards-based design, stakeholder requirements, workflows, data flows, and orchestration mechanisms, ensuring interoperability and alignment with existing platforms. Key technical components, including open APIs and cloud-, edge-, and microservice-based solutions, were specified, establishing a robust foundation for the technical development work packages.
Finally, WP16 defined and implemented strategies to maximise the project’s impact. A dissemination strategy and communication materials were produced, an external Advisory Board was established and convened, and the Early Adopter Programme and market analysis were initiated to support exploitation and IPR monitoring. Standardisation activities were also launched to ensure compliance and interoperability. All WP16 tasks were completed successfully, strengthening stakeholder engagement, market readiness, and long-term impact. WP16 continues in the second reporting period as WP17, with ongoing monitoring and updates.
WP4 focused on establishing a common project vision, defining the state of the art for MaaS technologies, specifying the MaaSAI System, and setting KPIs to guide solution development and validation. A shared MaaSAI Project Vision aligned partners on objectives and expected outcomes, supported by an initial risk analysis. System requirements were derived from pilot scenarios, partner expertise, and state-of-the-art analysis using structured methodologies, while KPIs aligned with ISO 22400 were defined and integrated into a dashboard. Market characteristics were analysed to support sustainability and exploitation planning. In parallel, a multi-dimensional benchmarking framework assessed existing technologies and competing solutions, while systematic analysis of needs, challenges, and limitations informed subsequent design activities in WP5.
During the same period, WP5 developed the MaaSAI Framework, defining a multi-perspective architecture covering business, usage, functional, and implementation views. The framework integrated standards-based design, stakeholder requirements, workflows, data flows, and orchestration mechanisms, ensuring interoperability and alignment with existing platforms. Key technical components, including open APIs and cloud-, edge-, and microservice-based solutions, were specified, establishing a robust foundation for the technical development work packages.
Finally, WP16 defined and implemented strategies to maximise the project’s impact. A dissemination strategy and communication materials were produced, an external Advisory Board was established and convened, and the Early Adopter Programme and market analysis were initiated to support exploitation and IPR monitoring. Standardisation activities were also launched to ensure compliance and interoperability. All WP16 tasks were completed successfully, strengthening stakeholder engagement, market readiness, and long-term impact. WP16 continues in the second reporting period as WP17, with ongoing monitoring and updates.
The MaaSAI project aims to push Manufacturing-as-a-Service (MaaS) beyond the current state of the art by introducing a transformative approach to manufacturing and remanufacturing. Moving away from traditional models, MaaSAI adopts a MaaS business paradigm that prioritizes flexibility, decentralisation, and customer-centricity. By extending service-oriented economy principles to manufacturing, the project enhances adaptability and responsiveness. Through the use of Explainable Artificial Intelligence (xAI), autonomous agents transparently negotiate manufacturing capabilities within a dynamic MaaS ecosystem, supported by real-time data exchange to enable faster responses and improved collaboration. By addressing the limitations of existing MaaS platforms, MaaSAI increases efficiency, lowers barriers to entry for SMEs, and promotes transparency, sustainability, and collaborative innovation.
During the first reporting period, the project focused on defining system requirements and KPIs, as well as establishing the MaaSAI reference architecture and its business, usage, functional, and implementation viewpoints. In the second period, as tool development progresses, MaaSAI is expected to deliver results that go beyond the state of the art by implementing advanced xAI models and real-time data exchange mechanisms, enabling more effective, intelligent, and collaborative manufacturing systems.
During the first reporting period, the project focused on defining system requirements and KPIs, as well as establishing the MaaSAI reference architecture and its business, usage, functional, and implementation viewpoints. In the second period, as tool development progresses, MaaSAI is expected to deliver results that go beyond the state of the art by implementing advanced xAI models and real-time data exchange mechanisms, enabling more effective, intelligent, and collaborative manufacturing systems.