The technological foundation of smart manufacturing consists of cyber-physical systems and the Internet-of-Things (IoT). Despite smart manufacturing has become a key paradigm to promote the integration of manufacturing processes using digital technologies, the manufacturing processes themselves are designed by human experts in a traditional way and have limited ability to adapt their behavior to exceptional circumstances. We leverage the fact that each IoT device in a smart factory can be coupled with a digital twin – that is, a software artefact that faithfully represents the physical system using real-time sensor data – to envision a software architecture to support adaptation of the manufacturing process when divergence from reference practices occur.

Towards Smart Manufacturing with Dynamic Dataspace Alignment / Firmani, Donatella; Leotta, Francesco; Mandreoli, Federica; Mecella, Massimo. - 382:(2020), pp. 53-58. (Intervento presentato al convegno 2nd International Workshop on Key Enabling Technologies for Digital Factories, KET4DF 2020 and the 1st International Workshop on Information Systems Engineering for Smarter Life, ISESL 2020, associated with the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020 tenutosi a Grenoble; France) [10.1007/978-3-030-49165-9_5].

Towards Smart Manufacturing with Dynamic Dataspace Alignment

Firmani Donatella
;
Leotta Francesco
;
Mandreoli Federica
;
Mecella Massimo
2020

Abstract

The technological foundation of smart manufacturing consists of cyber-physical systems and the Internet-of-Things (IoT). Despite smart manufacturing has become a key paradigm to promote the integration of manufacturing processes using digital technologies, the manufacturing processes themselves are designed by human experts in a traditional way and have limited ability to adapt their behavior to exceptional circumstances. We leverage the fact that each IoT device in a smart factory can be coupled with a digital twin – that is, a software artefact that faithfully represents the physical system using real-time sensor data – to envision a software architecture to support adaptation of the manufacturing process when divergence from reference practices occur.
2020
2nd International Workshop on Key Enabling Technologies for Digital Factories, KET4DF 2020 and the 1st International Workshop on Information Systems Engineering for Smarter Life, ISESL 2020, associated with the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020
Digital Twins; Internet-of-Things; Smart manufacturing
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Towards Smart Manufacturing with Dynamic Dataspace Alignment / Firmani, Donatella; Leotta, Francesco; Mandreoli, Federica; Mecella, Massimo. - 382:(2020), pp. 53-58. (Intervento presentato al convegno 2nd International Workshop on Key Enabling Technologies for Digital Factories, KET4DF 2020 and the 1st International Workshop on Information Systems Engineering for Smarter Life, ISESL 2020, associated with the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020 tenutosi a Grenoble; France) [10.1007/978-3-030-49165-9_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1419407
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