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AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience.
AIDEAS Project will develop AI technologies for supporting the entire life cycle of industrial equipment (design, manufacturing, use and repair/reuse/recycle) as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies.
The AIDEASproject will adopt a product life cycle-inspired implementation. As the project targets Innovation Actions outcomes, the main aim is utilising and reusing available applications and technologies in building the AIDEAS Solutions.
AIDEAS addresses increasing societal problems related to sustainability, agility, and resilience of European machinery manufacturers by delivering AI-based technology to optimise the entire life cycle of industrial equipment.
AIDEAS Solutions will be demonstrated in 4 industrial scenarios. All of them being manufacturers of industrial equipment, they belong to different sectors, so different problems will be addressed.
Provides AI technologies integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components.
Provides AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations, sequencing, quality control and curtomisation.
Provides 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 in optimal conditions
Provides AI technologies for extending the useful life of machines through prescriptive maintenance (Repair), facilitating a second life for machines through smart retrofitting (Reuse) and identification of the most sustainable end-of-life (Recycle).
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101057294
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Stefanos Vrochidis (CERTH)
IIias Gialampoukidis (CERTH)
Raul Poler (UPV)
