Resumen
This paper analyses how to solve the challenges in the implementation of Mass Customization in manufacturing using Artificial Intelligence agents/services/tools. Considering that humans alone cannot cope with mass customization due to the huge amount of information, it is required AI based solutions that help humans to take decisions. We consider that those AI based solutions must communicate with other AI based solutions in order to obtain a holistic improvement (this is the Multi Agent System concept). More in detail, this paper addresses how to solve the challenges identified when AI based agents use external data coming from outside the company, so a Data Space to guaranteeing a secure data transaction and data ownership and sovereignty is required. This paper presents the solutions implemented in several projects to address the challenges created by the requirements on a-the implementation and scalability of AI based solutions in Manufacturing, b-for the implementation of multi-Agent AI-based systems and for c-implementing Data Spaces.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Advances in Artificial Intelligence in Manufacturing II - Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, 2024 |
| Editores | Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos |
| Editorial | Springer Science and Business Media Deutschland GmbH |
| Páginas | 180-193 |
| Número de páginas | 14 |
| ISBN (versión impresa) | 9783031864889 |
| DOI | |
| Estado | Publicada - 2025 |
| Evento | 2nd European Symposium on Artificial Intelligence in Manufacturing, ESAIM 2024 - Athens, Grecia Duración: 16 oct 2024 → 16 oct 2024 |
Serie de la publicación
| Nombre | Lecture Notes in Mechanical Engineering |
|---|---|
| ISSN (versión impresa) | 2195-4356 |
| ISSN (versión digital) | 2195-4364 |
Conferencia
| Conferencia | 2nd European Symposium on Artificial Intelligence in Manufacturing, ESAIM 2024 |
|---|---|
| País/Territorio | Grecia |
| Ciudad | Athens |
| Período | 16/10/24 → 16/10/24 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 9: Industria, innovación e infraestructura
Huella
Profundice en los temas de investigación de 'AI Based Solutions for Manufacturing Mass Customization'. En conjunto forman una huella única.Citar esto
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