Published August 20, 2024 | Version v1

AI-based Solutions for Optimising Industrial Equipment Manufacturing

  • 1. Tampere University
  • 2. Università Politecnica delle Marche
  • 3. Instituto Tecnológico de Informática
  • 4. Centre for Research and Technology Hellas

Description

The AIDEAS project is concerned with the development of Artificial Intelligence (AI) technologies for optimising the entire phases of the industrial equipment lifecycle i.e., design, manufacturing, use and repair/reuse/recycle. This is aimed at enhancing the sustainability, agility, and resilience of European machine manufacturing companies. This paper focuses on the manufacturing phase of the industrial equipment lifecycle and thus presents the AIDEAS Industrial Equipment Manufacturing Suite, which consists of a set of AI-based solutions for optimising the procurement, fabrication, and delivery of industrial equipment. These solutions rely on powerful AI algorithms to provide optimal recommendations for component selection and procurement, enhance the process for manufacturing industrial machines and ensure smooth delivery of the equipment to the end-users. At the centre of these AI-based solutions is the AIDEAS Machine Passport, which binds the solutions together and facilitates seamless 
interaction and data exchange between them, thus ensuring that the output from one solution may be utilised as input in another solution. The AIDEAS Machine Passport is a critical element within the AIDEAS ecosystem as it ensures secure inter-phase data transfer and communication between the different phases of the industrial equipment lifecycle. These data flows serve as the basis for creating the industrial equipment footprint i.e., industrial equipment profile, which is an important element for achieving circularity in supply chains.

Files

AI-based Solutions for Optimising Industrial Equipment.pdf

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Additional details

Funding

European Commission
AIDEAS - AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience 101057294