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

Resumen

El Proyecto AIDEAS desarrollará tecnologías de IA para soportar todo el ciclo de vida de las industrias equipos (diseño, fabricación, uso y reparación/reutilización/reciclado) como instrumento estratégico para mejorar la sostenibilidad, la agilidad y la resiliencia de las empresas europeas de fabricación de maquinaria.


Descripción
  • Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components.
  • Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation.
  • 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.
  • 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 main objectives of AIDEAS project are:

  • To design the AIDEAS Framework and deliver the Reference Architecture for smart manufacturing and devised using multiple perspectives, related to business, usage, functional and implementation viewpoints.
  • To build the AIDEAS Industrial Equipment Design Suite, providing AI-assisted optimization modules that generate design proposals for the construction of industrial equipment.
  • To build the AIDEAS Industrial Equipment Manufacturing Suite, a set of AI technologies for the manufacturing phase of industrial equipment with the objective of achieving a high level of agility and sustainability between the manufacturing parties.
  • To build the AIDEAS Industrial Equipment Use Suite, a set of AI technologies for the use of

industrial equipment to be exploited by the companies that buy the machines.

  • To build the AIDEAS Industrial Equipment Repair-Reuse-Recycle Suite, a set of AI technologies for the repair/reuse/recycle of industrial equipment to be used by the companies that perform such operations.
  • To test and validate the AIDEAS Solutions in 4 use cases, machinery manufacturers covering different industrial sectors (metal, stone, plastic and food)