Scalable Digital Twins for industry 4.0 digital services: a dataspaces approach
| Autor: | Tomás Moreno, António Almeida, César Toscano, Filipe Ferreira, Américo Azevedo |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Production and Manufacturing Research: An Open Access Journal, Vol 11, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 21693277 2169-3277 |
| DOI: | 10.1080/21693277.2023.2173680 |
| Popis: | ABSTRACTThe manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin concept and its importance in the industrial companies’ business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces reference model’s application to overcome these limitations. Following a pilot study with a Portuguese machine producer/maintainer enterprise, this paper will demonstrate the development of a cutting and bending machine Digital Twin, leveraged on an International Data Spaces infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new business-to-business marketplace from the EU project Market 4.0. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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