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Cited by 187Digital Transformation in IndustryApplied Advanced TechnologiesFlexible and Reconfigurable Manufacturing Systems

Digital Twins: Review and Challenges

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Juarez, Maria G., Botti, Vicente J., Giret, Adriana S.·2021·Journal of Computing and Information Science in Engineering
DOI 10.1115/1.4050244
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Abstract

With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

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  • The use of AI and big data to satisfy the long-term and large-scale requirements for data analysis is a challenge.

    “The use of AI and big data to satisfy the long-term and large-scale requirements for data analysis [13,81].”

    From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [13]

    Section 3.2.2 (Big Data; page unavailable) says Big Data helps analyze data that evolve and reach large proportions. Section 4 (Utilize; page unavailable) recommends AI for digital-twin decisions and predictions. The paper does not specifically describe their combined use as a challenge of meeting long-term, large-scale data-analysis requirements. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

  • Literature reviews [9,13,62,84] focus on presenting DT architecture, definitions, concepts and benefits.

    “Other literature reviews such as [9,13,62,84] focus on presenting the DT architecture, definitions, concepts and benefits while others, such as [15][16][17][18], focus on the technical aspect of the DT technology and explore the trending technologies for a solid DT implementation.”

    From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [13]

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Cited by

Sorted by citations

Authors
Juarez, M. G., Botti, V. J., & Giret, A. S.
Affiliations
Universitat Politècnica de València (ES)
ORCID
Venue
Journal of Computing and Information Science in Engineering
Publisher
ASME International
Published
2021-04-02
Volume
21
Issue
3
ISSN
  • 1530-9827 (ISSN-L)
  • 1944-7078
DOI
10.1115/1.4050244
OpenAlex
W3132804543
Cited by
187
References
10
Citations by year
2026: 22 · 2025: 59 · 2024: 51 · 2023: 33 · 2022: 17 · 2021: 5
FWCI
13.71
Type
journal article
Language
en
Open access
Licence
www.asme.org/publications-submissions/publishing-information/legal-policies (vor)
Locations
  • Journal of Computing and Information Science in Engineering (publishedVersion)
  • RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
Keywords
digital twin, Industry 4.0, multi-agent systems

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