About Self-Optimized AI for Sustainable & Agile Manufacturing in European Process Industries

The s-X-AIPI project is a 3-year Horizon Europe-funded project that aims to develop and test a novel autonomic AI toolset for the transformation of the European process industry. The solutions explored involve the formulation of a novel architecture, AI data pipeline, and realistic datasets derived from four real-world demo cases. These are combined with an autonomic manager based on the MAPE-K model (continuous monitoring, analyzing, planning, and execution flow based on the knowledge of the AI system under control) for developing self-improving AI systems. The ultimate goal of these applications is to optimize human involvement in the loop of creating and maintaining AI applications for industrial use, while exhibiting self-improving (self-X) capabilities. With a far-reaching impact on the position of the European process industry, the project aims to achieve reductions in greenhouse gas emissions, waste, and resources used, as well as to accelerate the digital transition of the process industry and manufacturing sectors.

This Collection includes detailed datasets, in-depth explanations of AI algorithms, and applications of our AI system to the four primary use case scenarios: asphalt, steel, pharmaceuticals, and aluminium. Additionally, it contains general articles on the architecture and transversal systems, such as the Autonomic Manager, highlighting its integration with self-X capabilities across various industries. Each contribution demonstrates the advancements in self-X AI technologies, aiming to enhance operational agility, performance, and sustainability in the process industry.