Hybrid AI for optimisation in industry

Project Overview

Hybrid AI for supply chain optimization in Industry 4.0

Supply chains (SC) are increasingly challenged by uncertainty and risks in this high-tech era. In this context, to effectively identify and mitigate SC-related risks, data, information, and knowledge from different sources must be smartly exploited. This research project focuses on optimizing supply chains through the integration of symbolic and statistical AI. Knowledge models, particularly ontologies and knowledge graphs, will be used to conceptualize the problem area, providing rich domain knowledge and data semantics. Furthermore, statistical AI techniques, such as machine learning and mathematical optimization, help uncover the meaning behind specific supply chain data sources.

ZLRI

Hybrd AI for SCRM

Period: January 2023- December 2025

Impact: This project is part of a strategic partnership between Swansea University and Université of Grenoble Alpes, aligned with their 5-year strategic plan (2021-2026). The collaboration focuses on promoting cooperation in areas such as artificial intelligence and resilience. This project contributes significantly to the field of artificial intelligence and has potential contributions to the resilience of supply chain. Furthermore, this project benefits from local developments, including the technological platforms being developed for Industry 4.0, such as the Platform OM at UGA/Grenoble INP and Festo Industry 4.0 CP Lab at Swansea University. The project also leverages the opportunities and environment provided by Swansea University. Notably, Swansea University is home to the EPSRC Centre For Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems, which further supports and enhances the project's goals.