Scalable Digital Twins for industry 4.0 digital services: a dataspaces approach

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Moreno, T (Author) Other; Almeida, A (Author) Other; Toscano, C (Author) Other; Ferreira, F (Author) Other; Américo Azevedo (Author) FEUP

Journal

Title: Production and Manufacturing Research

Vol. 11

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00X-W50

DOI: 10.1080/21693277.2023.2173680

Abstract (EN): The 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 34