How to characterize a Digital Twin: A Usage-Driven Classification. Issue 1 (2021)

• Record Type: Journal Article
• Authors: Julien, N.; Martin, E.
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 1(2021)
• Page Start: 894
• Page End: 899
• Publication Date: 2021
• Subjects: Digital Twin -- Agile Manufacturing -- Intelligent Manufacturing Systems -- Engineering Applications of Artificial Intelligence; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.08.106
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Last years, publications on the Digital Twin have been increasing sharply without any real coherence, representing very different realities. In order to clarify its scope, we propose not only a global definition, but also a complete, usage-driven classification methodology. This enables to integrate data and models as well as applications in a generic overview. Moreover, the usage-driven deployment of the Digital Twin allows to be user-centric, in order to foster acceptance. We give various examples of the interest of this classification to support the deployment of the Digital Twin in all industrial applications.