Blucher Engineering Proceedings

Dezembro 2024, vol.11, num.2 - X Simpósio Internacional de Inovação e Tecnologia
Full Article - Open Access Idioma principal | Segundo principal

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

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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.

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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DOI: 10.5151/siintec2024-386697

Referências bibliográficas
  • [1] "1 PERNO, M.; HVAM, L.; HAUG, A. Implementation of digital twins in the process
  • [2] industry: A systematic review of the literature on enablers and barriers. Computers in
  • [3] Industry, v. 134, p. 103558, 2022.
  • [4] 2 KARATS, M. and others. Big Data for the Health Industry 4.0: Applications,
  • [5] challenges and future perspectives. Expert Systems with Applications, v. 200, 15
  • [6] above. 2022.
  • [7] 3 PWC. 2016 Industry 4.0 Global Survey: Industry 4.0: Building the Digital Enterprise.
  • [8] London, England, 2016.
  • [9] 4 TAO, F. et al. Digital Twins and Cyber-Physical Systems Towards Smart
  • [10] Manufacturing and Industry 4.0: Correlation and Comparison. Engenharia, v. 5, n. 4,
  • [11] p. 653–661, 2019. 5 HERNANDEZ, C. and others. Validation of industry 4.0 technologies in the logistics
  • [12] operation of a steel mill through the use of computer simulation. Journal of
  • [13] Administration, Society and Innovation, v. 10, 23 jan. 2024.
  • [14] 6 MOYNE, J. et al. A requirements-driven digital twin framework: specifications and
  • [15] opportunities. IEEE Access, v. 8, page 107781–107801, 2020.
  • [16] 7 QIAN, C. and others. Digital Twin – Cybernetic Replica of Physical Things:
  • [17] Architecture, Applications, and Future Research Directions, Future Internet, Vol. 14,
  • [18] February 21. 2022.
  • [19] 8 ATTARAN, M; CELIK, B. Digital Twin: Benefits, use cases, challenges and
  • [20] opportunities. Decision Analysis Journal, v. 6, Dec. 2023
  • [21] 9 AFTERNOON, PR; NARA, E.O.B.; SCHAEFER, J. L. A bibliometric analysis on the
  • [22] relationships between the use of Lean tools and 4.0 technologies in the product
  • [23] development process. Brazilian Journal of Production Engineering, São Mateus,
  • [24] Espírito Santo, Brazil, v. 9, n. 2, p. 88–98, 2023.
  • [25] 10 ARIA, M. & CUCCURULLO, C. Bibliometrix: an R tool for comprehensive analysis
  • [26] of scientific mapping, Journal of Informetrics. Elsevier. 11(4), pp. 959-975, 2017.
  • [27] 11 ANDRADE, P; GUIMARÃES, I. Challenges in the use of the digital twin in
  • [28] prefabricated construction: A systematic review. Revista foco, v. 8, pg. e2830-e2830,
  • [29] 2023.
  • [30] 12 JÚNIOR, A. The importance of simulation software in industry 4.0: An analysis
  • [31] of the insertion of the Digital Twin in industrial contexts. 29 Mar. 2023. Final Paper
  • [32] Production Engineering Course, Federal University of Ouro Preto, Minas Gerais,
  • [33] Brazil, 2023.
  • [34] 13 DE SOUZA MOREIRA, L. C. Metaverse and architecture: bibliometric analysis.
  • [35] BRAZILIAN SYMPOSIUM ON INFORMATION AND COMMUNICATION
  • [36] TECHNOLOGY IN CONSTRUCTION, V. 4, P. 1-10, 2023."
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 23577592, DOI 10.5151/siintec2024-386697

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