Realizing Smart Manufacturing Architectures through Digital Twin Frameworks

Davide Ghedalia (), Francesco Leotta () and Massimo Mecella ()
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Davide Ghedalia: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Francesco Leotta: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy
Massimo Mecella: Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy

No 2020-02, DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"

Abstract: The recent advances in communication and computation technologies and the explosion of the Internet-of-Things (IoT) are the fundamental building blocks of the smart manufacturing approach. Here, "things" are the main actors of production processes and supply chains, i.e., involved machinery and companies accessible through their so called digital twins-DTs. DTs are faithful representations of physical entities in the virtual world, which, by exposing services, can be employed to modify, monitor and predict the state of the wrapped objects. The interest in smart manufacturing from industry and institutions led the development of commercial and open source frameworks to implement DTs. In this paper, we will discuss how these frameworks can be employed in consistent architectures for smart manufacturing aiming at coordinating DTs in order to pursue specific production goals.

Keywords: Industry 4.0; digital twins; smart manufacturing; development framework; software (search for similar items in EconPapers)
Date: 2020
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