Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia

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PROSPECTIVE STUDY ON DIGITAL TWIN IN INDUSTRIAL PROCESSES

PROSPECTIVE STUDY ON DIGITAL TWIN IN INDUSTRIAL PROCESSES

Araujo, Andressa Clara Barbosa de ; Oliveira, Daniel Marques Santana ; Lopes, Emilli Cássia Souza ; Santos, Beatriz de Jesus ; Sant'Anna, Ângelo Marcio Oliveira ; Pimentel, Cristiane Agra ;

Completo:

The digital twin stands out in the context of industry 4.0 for its benefits and market perspectives, even though it is a new and evolving technology. Therefore, the present study aims to investigate academic productions related to the digital twin theme associated with the evolution of industry 4.0. For this, the bibliometric review technique was used with the help of the free software Bibliometrix, searching in the Scopus, Web of Science and Dimension databases, with publications from 2002 to 2024. The main results pointed out “Industry 4.0, Digital Twin, industries manufacturing” as the most frequent keywords and those that are most related in publications, in addition to the period from 2022 to 2023 and Germany, the years and the country, with the highest volume of publication.

Completo:

The digital twin stands out in the context of industry 4.0 for its benefits and market perspectives, even though it is a new and evolving technology. Therefore, the present study aims to investigate academic productions related to the digital twin theme associated with the evolution of industry 4.0. For this, the bibliometric review technique was used with the help of the free software Bibliometrix, searching in the Scopus, Web of Science and Dimension databases, with publications from 2002 to 2024. The main results pointed out “Industry 4.0, Digital Twin, industries manufacturing” as the most frequent keywords and those that are most related in publications, in addition to the period from 2022 to 2023 and Germany, the years and the country, with the highest volume of publication.

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Palavras-chave: Digital Twin, Industry 4.0, tendency, Bibliometrics,

Palavras-chave: Digital Twin, Industry 4.0, tendency, Bibliometrics,

DOI: 10.5151/siintec2024-386697

Referências bibliográficas
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Como citar:

Araujo, Andressa Clara Barbosa de; Oliveira, Daniel Marques Santana; Lopes, Emilli Cássia Souza; Santos, Beatriz de Jesus; Sant'Anna, Ângelo Marcio Oliveira; Pimentel, Cristiane Agra; "PROSPECTIVE STUDY ON DIGITAL TWIN IN INDUSTRIAL PROCESSES", p. 1121-1128 . In: . São Paulo: Blucher, 2024.
ISSN 2357-7592, DOI 10.5151/siintec2024-386697

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