AIDEAS | AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience

Summary

Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency.

AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies.

AIDEAS will deploy 4 integrated Suites:

  1. Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components;
  2. Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation;
  3. Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions;
  4. Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).

The AIDEAS Solutions will be demonstrated in 4 Pilots of machinery manufacturers that provide industrial equipment to different industrial sectors: metal, stone, plastic and food.

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Attached files (2)
File Type
AIDEAS Roll Up Banner.pdf PDF
AIDEAS Triptico_v_0.1.pdf PDF
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101057294
https://aideas-project.eu/ - AIDEAS project webpage
https://www.youtube.com/@AIDEASProject - AIDEAS Project YouTube Channel
Start date: 01-10-2022
End date: 30-09-2025
Total budget - Public funding: 6 610 338,00 Euro - 5 999 694,00 Euro
Twitter: @dsf
Cordis data

Original description

Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency.
AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).
The AIDEAS Solutions will be demonstrated in 4 Pilots of machinery manufacturers that provide industrial equipment to different industrial sectors: metal, stone, plastic and food.

Status

SIGNED

Call topic

HORIZON-CL4-2021-TWIN-TRANSITION-01-07

Update Date

27-10-2022
Geographical location(s)
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Factories of the Future Partnership - Made in Europe Partnership

Made in Europe (MiE)
HORIZON-CL4-2021-TWIN-TRANSITION-01
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
Video
Comment:

Discover how AIDEAS leverages artificial intelligence to optimize the entire life cycle of industrial equipment, offering innovative solutions to ensure a more sustainable, agile, and resilient future for the industry.

 

Presentation
Comment:

Triptico -  Leaflet describing the AIDEAS project 

Other medium
Comment:

Magic Cube - promotion of the AIDEAS project in events

 

MiE_25-27_RP01: Sustainable value network resilience and competitiveness through robust and flexible production technologies
MiE_25-27_RP04: Circular, connected manufacturing ecosystems
MiE_25-27_RP05: The next level of circular economy through scalable, highly productive and zero-defect re-manufacturing technologies
MiE_25-27_RP05_PastCallTopics(main)
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
MiE_25-27_RP08: Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins
Specific Objective 1: Excellent, responsive and smart factories & supply chains
R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
Specific Objective 2: Circular products & Climate-neutral manufacturing
R&I Objective 2.2: De-manufacturing, re-manufacturing and recycling technologies for circular economy
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
R&I Objective 2.5: Digital platforms and data management for circular product and production-systems life-cycles
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
Specific Objective 4: Human-centered and human-driven manufacturing innovation
R&I Objective 4.3: Human & technology complementarity and excellence in manufacturing
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.1 Manufacturing Technologies
HORIZON-CL4-2021-TWIN-TRANSITION-01
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)