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Communication Dans Un Congrès Année : 2021

STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems

Thanassis Giannetsos
  • Fonction : Auteur
Sofia Anna Menesidou
  • Fonction : Auteur
Rubén Alonso
  • Fonction : Auteur

Résumé

There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry 5.0. To realize this, we propose an architecture that integrates forecasts, Explainable Artificial Intelligence, supports collecting users’ feedback and uses Active Learning and Simulated Reality to enhance forecasts and provide decision-making recommendations. The architecture security is addressed at all levels. We align the proposed architecture with the Big Data Value Association Reference Architecture Model. We tailor it for the domain of demand forecasting and validate it on a real-world case study.
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Dates et versions

hal-03806488 , version 1 (07-10-2022)

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Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, et al.. STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.199-207, ⟨10.1007/978-3-030-85910-7_21⟩. ⟨hal-03806488⟩
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