All Outputs (5)

AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024)
Journal Article
Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024). AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems. User Modeling and User-Adapted Interaction, https://doi.org/10.1007/s11257-024-09414-0

Smart Product–Service Systems (S-PSS) represent an innovative business model that integrates intelligent products with advanced digital capabilities and corresponding e-services. The user experience (UX) within an S-PSS is heavily influenced by the c... Read More about AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems.

Improving the Development and Reusability of Industrial AI Through Semantic Models (2024)
Presentation / Conference Contribution
Martínez-Arellano, G., & Ratchev, S. (2024, April). Improving the Development and Reusability of Industrial AI Through Semantic Models. Presented at Conference on Learning Factories 2024, University of Twente, The Netherlands

Despite some of the success of AI, particularly machine learning, in industrial applications such as condition monitoring, quality inspection and asset control , solutions are typically bespoke and not robust in the long term. There is a considerable... Read More about Improving the Development and Reusability of Industrial AI Through Semantic Models.

Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor (2024)
Presentation / Conference Contribution
MARTINEZ ARELLANO, G. (2024, June). Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor. Paper presented at FAIM 2024, Taichung, Taiwan

Artificial Intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor.

Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning (2024)
Presentation / Conference Contribution
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., & Ratchev, S. (2024, August). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. Presented at 18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2024), Austria, Vienna

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lines completely. Thi... Read More about Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning.

Immune system inspired smart maintenance framework: tool wear monitoring use case (2024)
Journal Article
Pulikottil, T., Martínez-Arellano, G., & Barata, J. (2024). Immune system inspired smart maintenance framework: tool wear monitoring use case. International Journal of Advanced Manufacturing Technology, 132(9-10), 4699-4721. https://doi.org/10.1007/s00170-024-13472-4

As the manufacturing industry is moving towards the fourth industrial revolution, there is an increasing need for smart maintenance systems that could provide manufacturers with a competitive advantage by predicting failures. Despite various efforts... Read More about Immune system inspired smart maintenance framework: tool wear monitoring use case.