2026-04-07T17:04:09Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/63232025-01-08T07:27:11Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Legaristi Labajos, Jon author Larrinaga, Felix author Zugasti, Ekhi author Cuenca, Javier author 2023 This article develops an architecture for the implementation of Artificial Intelligence in the manufacturing value chain based on standard technologies and data spaces. The standards considered are IEC 63278 “Asset Administration Shell (AAS) for industrial applications” and DIN SPEC 27070:2020 – “Requirements and reference architecture of a security gateway for the exchange of industry data and services“ by IDSA. The architecture provides a data space that allows MONDRAGON industrial cooperatives to use data for the execution of advanced data analytics, Artificial Intelligence (AI) algorithms and interoperability between assets and IoT-platforms. The development of knowledge in this field allows, on the one hand, to optimise the consolidation of data as a strategic factor and, on the other hand, to increase collaboration between manufacturing companies, suppliers and technology providers. The article also explores specific Artificial Intelligence technologies with a wide application in industrial environments. In particular, the study has focused on research into Low/No Code, Explainability (XAI) tools and incremental learning algorithms. The contributions of this paper are summarised in 1) creating an IDS-AAS based architecture and data space that allows the exploitation of AI use cases, either by directly downloading models or by using AI as a service, 2) identifying useful AI tools for industry such as AutoML, No/Low code, XAI or incremental learning, 3) implementing a use case where different AI use alternatives are implemented. https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=176353 https://hdl.handle.net/20.500.11984/6323 AI applications in manufacturing systems Data spaces Asset Administration Shell (AAS) Digital platforms Towards an Advanced Artificial Intelligence Architecture through Asset Administration Shell and Industrial Data Spaces