Tutorial
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Prof. Vitaliy Mezhuyev
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Topic: Applied research use-case overview
The Smart Production Lab of FH JOANNEUM University of Applied Sciences, Austria, serves as an interdisciplinary research and experimentation environment for digital and intelligent manufacturing. This talk presents selected use cases that demonstrate how advanced digital technologies can be successfully applied in real industrial contexts, even under typical constraints such as limited data availability, legacy equipment, and complex physical processes.
The talk introduces key research directions of the lab, including Industrial Internet of Things (IIoT) architectures, digital shop floor management, active and semi-supervised learning, physics-informed machine learning, and Bayesian optimization. Practical examples cover defect detection in steel production under data scarcity, quality prediction in additive manufacturing, and the development of expert systems to support decision-making on the shop floor. Particular emphasis is placed on data-efficient machine learning, model interpretability, and the integration of domain knowledge into data-driven models.
By showcasing these use cases, the talk highlights how smart production laboratories can bridge the gap between academic research and industrial implementation, providing scalable, explainable, and cost-effective solutions for modern manufacturing systems.