TY - GEN
T1 - AI Based Solutions for Manufacturing Mass Customization
AU - Usatorre, Luis
AU - Morella, Paula
AU - Sedano, Iñigo
AU - Clavijo, Sergio
AU - Aguayo, Asier
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Data Spaces
KW - Manufacturing
KW - Multi Agent System (MAS)
KW - Value Chain (VC)
UR - http://www.scopus.com/inward/record.url?scp=105001226979&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-86489-6_19
DO - 10.1007/978-3-031-86489-6_19
M3 - Conference contribution
AN - SCOPUS:105001226979
SN - 9783031864889
T3 - Lecture Notes in Mechanical Engineering
SP - 180
EP - 193
BT - Advances in Artificial Intelligence in Manufacturing II - Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, 2024
A2 - Alexopoulos, Kosmas
A2 - Makris, Sotiris
A2 - Stavropoulos, Panagiotis
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd European Symposium on Artificial Intelligence in Manufacturing, ESAIM 2024
Y2 - 16 October 2024 through 16 October 2024
ER -
