AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience.

Results

AIDEAS Project has developed new artificial intelligence technologies to support the entire life cycle of industrial equipment (design, manufacture, use and repair/reuse/recycling). These solutions have been used as a strategic tool to improve the sustainability, agility and resilience of European machinery manufacturing companies.

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The AIDEAS project adopts an implementation inspired by the product life cycle. This project has focused on the results of innovation actions, seeking to use and reuse available applications and technologies in the creation of 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.

Use Cases

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.

Suites

Design

Provides AI technologies integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components. 

Manufacturing

Provides AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations, sequencing, quality control and curtomisation. 

Use

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

Repair – Reuse – Recycle

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).