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Towards Model-Based Assessment of Trustworthiness in Autonomous Cyber-Physical Production Systems

Fulltext:


Authors:

Maryam Zahid, Alessio Bucaioni, Francesco Flammini

Publication Type:

Conference/Workshop Paper

Venue:

22nd International Conference on Information Technology: New Generations

Publisher:

Springer, Cham

DOI:

https://doi.org/10.1007/978-3-031-89063-5_50

Abstract

The latest industrial revolution has introduced autonomous cyber-physical production systems, integrating machine learning into smart manufacturing to optimize production and resource management. However, this integration impacts trustworthiness due to less predictable and explainable behaviors. This paper presents a novel model-based methodology for evaluating the trustworthiness of such systems. A study was conducted to explore the potential and limitations of model-based assessment, categorizing limitations into structural, behavioral, and resource-related aspects. The findings highlight inadequate risk identification and assessment of ML components in these systems and the constraints of single modeling approaches. Based on these insights, we propose a new methodology to address these limitations and improve the risk assessment of ML components in autonomous production systems.

Bibtex

@inproceedings{Zahid7333,
author = {Maryam Zahid and Alessio Bucaioni and Francesco Flammini},
title = {Towards Model-Based Assessment of Trustworthiness in Autonomous Cyber-Physical Production Systems},
month = {May},
year = {2025},
booktitle = {22nd International Conference on Information Technology: New Generations},
publisher = {Springer, Cham},
url = {http://www.ipr.mdu.se/publications/7333-}
}