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CONTINUOUS VALIDATION OF DIGITAL TWINS: CONCEPTUAL AND APPLIED APPROACHES.

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Title: CONTINUOUS VALIDATION OF DIGITAL TWINS: CONCEPTUAL AND APPLIED APPROACHES.
Authors: Lucio, J. S.1 serafim.epr@gmail.com, Miranda, R. C.1 rafael.miranda@unifei.edu.br, Montevechi, J. A. B.1 montevechi@unifei.edu.br, Lucio, T. A. V.1 thaynaengmec@gmail.com
Source: International Journal of Simulation Modelling (IJSIMM). Jun2026, Vol. 25 Issue 2, p236-247. 12p.
Subjects: Digital twin, Model validation, Scientific observation, Industry 4.0, Quantitative research, Quality control charts
Abstract: The growing adoption of Digital Twins (DTs) in Industry 4.0 (I4.0) raises the challenge of ensuring model validity throughout the operational lifecycle. Unlike static validation, which is limited to the development phase, continuous validation aims to ensure that the DT remains representative of the physical system during operation. This paper presents a critical review of conceptual and applied approaches to continuous or recurrent DT validation. The studies are classified into continuous monitoring proposals, methods with potential for recurrent adaptation, and conceptually aligned approaches. For each group, methods, results, and limitations are discussed. A comparative analysis reveals relevant gaps, including the lack of formal criteria for selecting critical variables and difficulties in diagnosing the causes of deviations. Finally, emerging trends and future directions are outlined, highlighting the integration of statistical techniques, such as control charts, to enhance the reliability and traceability of DTs in dynamic industrial environments. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: CONTINUOUS VALIDATION OF DIGITAL TWINS: CONCEPTUAL AND APPLIED APPROACHES.
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  Data: <searchLink fieldCode="AR" term="%22Lucio%2C+J%2E+S%2E%22">Lucio, J. S.</searchLink><relatesTo>1</relatesTo><i> serafim.epr@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Miranda%2C+R%2E+C%2E%22">Miranda, R. C.</searchLink><relatesTo>1</relatesTo><i> rafael.miranda@unifei.edu.br</i><br /><searchLink fieldCode="AR" term="%22Montevechi%2C+J%2E+A%2E+B%2E%22">Montevechi, J. A. B.</searchLink><relatesTo>1</relatesTo><i> montevechi@unifei.edu.br</i><br /><searchLink fieldCode="AR" term="%22Lucio%2C+T%2E+A%2E+V%2E%22">Lucio, T. A. V.</searchLink><relatesTo>1</relatesTo><i> thaynaengmec@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Simulation+Modelling+%28IJSIMM%29%22">International Journal of Simulation Modelling (IJSIMM)</searchLink>. Jun2026, Vol. 25 Issue 2, p236-247. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control+charts%22">Quality control charts</searchLink>
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  Data: The growing adoption of Digital Twins (DTs) in Industry 4.0 (I4.0) raises the challenge of ensuring model validity throughout the operational lifecycle. Unlike static validation, which is limited to the development phase, continuous validation aims to ensure that the DT remains representative of the physical system during operation. This paper presents a critical review of conceptual and applied approaches to continuous or recurrent DT validation. The studies are classified into continuous monitoring proposals, methods with potential for recurrent adaptation, and conceptually aligned approaches. For each group, methods, results, and limitations are discussed. A comparative analysis reveals relevant gaps, including the lack of formal criteria for selecting critical variables and difficulties in diagnosing the causes of deviations. Finally, emerging trends and future directions are outlined, highlighting the integration of statistical techniques, such as control charts, to enhance the reliability and traceability of DTs in dynamic industrial environments. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2507/IJSIMM25-2-760
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        Text: English
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      – SubjectFull: Digital twin
        Type: general
      – SubjectFull: Model validation
        Type: general
      – SubjectFull: Scientific observation
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      – SubjectFull: Industry 4.0
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      – SubjectFull: Quantitative research
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      – SubjectFull: Quality control charts
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      – TitleFull: CONTINUOUS VALIDATION OF DIGITAL TWINS: CONCEPTUAL AND APPLIED APPROACHES.
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              Text: Jun2026
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              Y: 2026
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