AI-based Solutions for Optimising Industrial Equipment Manufacturing

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-20
DOI
https://doi.org/10.5281/zenodo.13347930
Primary Topic
Digital Transformation in Industry
Type
article
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article

AI-based Solutions for Optimising Industrial Equipment Manufacturing

Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

AI-based Solutions for Optimising Industrial Equipment Manufacturing

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Marche Polytechnic University (IT), Tampere University (FI), Centre for Research and Technology Hellas (GR), Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC) (ES)
Industry, innovation and infrastructure, Responsible consumption and production
Openalex Percentile: Top 50%
Digital Transformation in Industry
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