Periodic Reporting for period 1 - AIDEAS (AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience)
Reporting period: 2022-10-01 to 2024-03-31
The AIDEAS project aims to develop AI technologies to support the entire lifecycle of industrial equipment, enhancing the sustainability, agility, and resilience of European machinery manufacturing companies. The 4 AIDEAS Suites—Design, Manufacturing, Use, Repair-Reuse-Recycle—were mapped to industrial needs by end-user Pilots and AI-solution developers. This collaboration helps identify user needs and guide the development, tuning, and implementation of solutions for demonstration and validation. The Suites consist of 15 AI solutions targeting improvements in Key Performance Indicators (KPIs) relevant to AIDEAS application scenarios.
Work Packages
WP1: Develop and share the AIDEAS Project Vision, establish the state of the art in technologies for equipment design, manufacturing, use, and repair/reuse/recycle, and set requirements for AIDEAS Solutions.
WP2: Design the AIDEAS Framework and deliver the Reference Architecture for smart manufacturing, considering business, usage, functional, and implementation perspectives.
WP3: Build the AIDEAS Industrial Equipment Design Suite with AI-assisted optimization modules for equipment design.
WP4: Develop the AIDEAS Industrial Equipment Manufacturing Suite with AI technologies for the manufacturing phase, focusing on agility and sustainability.
WP5: Create the AIDEAS Industrial Equipment Use Suite with AI technologies for equipment usage by purchasing companies.
WP6: Build the AIDEAS Industrial Equipment Repair-Reuse-Recycle Suite with AI technologies for equipment repair, reuse, and recycling.
WP7: Test and validate the AIDEAS Solutions in use cases across various industrial sectors (metal, stone, plastic, and food).
WP8: Disseminate the AIDEAS Solutions, promote project activities and results, and facilitate the adoption of AIDEAS Solutions in the industry. Contribute to standards, ensuring compliance with ICT regulations.
WP9: Manage the project to ensure objectives are met on time, within budget, and with high quality.
Work Performed and Achievements
Work Packages
WP1: Develop and share the AIDEAS Project Vision, establish the state of the art in technologies for equipment design, manufacturing, use, and repair/reuse/recycle, and set requirements for AIDEAS Solutions.
WP2: Design the AIDEAS Framework and deliver the Reference Architecture for smart manufacturing, considering business, usage, functional, and implementation perspectives.
WP3: Build the AIDEAS Industrial Equipment Design Suite with AI-assisted optimization modules for equipment design.
WP4: Develop the AIDEAS Industrial Equipment Manufacturing Suite with AI technologies for the manufacturing phase, focusing on agility and sustainability.
WP5: Create the AIDEAS Industrial Equipment Use Suite with AI technologies for equipment usage by purchasing companies.
WP6: Build the AIDEAS Industrial Equipment Repair-Reuse-Recycle Suite with AI technologies for equipment repair, reuse, and recycling.
WP7: Test and validate the AIDEAS Solutions in use cases across various industrial sectors (metal, stone, plastic, and food).
WP8: Disseminate the AIDEAS Solutions, promote project activities and results, and facilitate the adoption of AIDEAS Solutions in the industry. Contribute to standards, ensuring compliance with ICT regulations.
WP9: Manage the project to ensure objectives are met on time, within budget, and with high quality.
Work Performed and Achievements
The AIDEAS project has achieved significant milestones, submitting 16 deliverables on time and reaching 9 milestones. The first release of tools and demos is set for the M18 review meeting. WP7 defined use cases and selected tools for each pilot, with necessary hardware and acquisition systems installed, and data provided to solution providers. A dissemination strategy and plan were developed, and monitoring of dissemination KPIs is ongoing. Communication and dissemination activities included website launches, social media engagement, and promotional materials like brochures, banners, and videos. Workshops, publications, and AB workshops were conducted. The AIDEAS community was launched, and the Growth strategy is continuously updated.
Exploitation actions included the KER Mapping Workshop and the Acceleration Program, with workshops on value proposition, buyer personas, and market analysis. IPR Monitoring and Assessment involved designing questionnaires to gather information on AIDEAS solutions and suites. Standardization actions identified 52 relevant standards, focusing on creating a CEN Workshop Agreement for a common API structure.
Exploitation actions included the KER Mapping Workshop and the Acceleration Program, with workshops on value proposition, buyer personas, and market analysis. IPR Monitoring and Assessment involved designing questionnaires to gather information on AIDEAS solutions and suites. Standardization actions identified 52 relevant standards, focusing on creating a CEN Workshop Agreement for a common API structure.
The AIDEAS project delivers significant results impacting the European machinery manufacturing sector. The four suites—Design, Manufacturing, Use, and Repair-Reuse-Recycle—developed 15 AI solutions to enhance efficiency and sustainability. Key results include:
Enhanced Design and Manufacturing Processes: AI-driven tools optimize design and manufacturing, reducing waste and speeding up market adaptation.
Improved Equipment Usage and Maintenance: AI applications ensure equipment operates efficiently, extending machinery life and reducing downtime through predictive maintenance.
Potential Impacts
Economic: Increased productivity and reduced operational costs improve profitability for European manufacturers.
Environmental: Better resource utilization and waste reduction align with EU environmental goals.
Technological: Advanced AI applications foster further innovation in industrial processes.
Key Needs for Further Uptake and Success
Further Research and Demonstration: Continued R&D investment to refine AI technologies.
Access to Markets and Finance: Facilitate market access and funding opportunities for AI technology adopters.
Commercialization and IPR Support: Guidance on commercializing innovations and protecting intellectual property.
Internationalization: Promote global competitiveness through international partnerships and exports.
Supportive Regulatory and Standardization Framework: Develop AI-specific regulations and standards for manufacturing.
Policy-Relevant Evidence
The AIDEAS project provides data and scientific advice to support EU policymakers in developing policies related to industrial manufacturing. The project aligns with EU priorities on green and digital transitions, informing legislation, standards, and support schemes to foster innovation in manufacturing.
Enhanced Design and Manufacturing Processes: AI-driven tools optimize design and manufacturing, reducing waste and speeding up market adaptation.
Improved Equipment Usage and Maintenance: AI applications ensure equipment operates efficiently, extending machinery life and reducing downtime through predictive maintenance.
Potential Impacts
Economic: Increased productivity and reduced operational costs improve profitability for European manufacturers.
Environmental: Better resource utilization and waste reduction align with EU environmental goals.
Technological: Advanced AI applications foster further innovation in industrial processes.
Key Needs for Further Uptake and Success
Further Research and Demonstration: Continued R&D investment to refine AI technologies.
Access to Markets and Finance: Facilitate market access and funding opportunities for AI technology adopters.
Commercialization and IPR Support: Guidance on commercializing innovations and protecting intellectual property.
Internationalization: Promote global competitiveness through international partnerships and exports.
Supportive Regulatory and Standardization Framework: Develop AI-specific regulations and standards for manufacturing.
Policy-Relevant Evidence
The AIDEAS project provides data and scientific advice to support EU policymakers in developing policies related to industrial manufacturing. The project aligns with EU priorities on green and digital transitions, informing legislation, standards, and support schemes to foster innovation in manufacturing.