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 fra nel 2020) [10.1007/978-3-030-49165-9_5].
Towards Smart Manufacturing with Dynamic Dataspace Alignment
Mandreoli Federica;
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.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
