Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications
Digital Twins possess the capability to create virtual representations of a device’s components and dynamics. They transcend static images or blueprints, offering intricate models that reveal the entire lifecycle of system design, construction, and operation. Digital Twins now spearhead t...
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10336798/ |
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author | Sabrina Manickam Laasya Yarlagadda Shynu Padinjappurathu Gopalan Chiranji Lal Chowdhary |
author_facet | Sabrina Manickam Laasya Yarlagadda Shynu Padinjappurathu Gopalan Chiranji Lal Chowdhary |
author_sort | Sabrina Manickam |
collection | DOAJ |
description | Digital Twins possess the capability to create virtual representations of a device’s components and dynamics. They transcend static images or blueprints, offering intricate models that reveal the entire lifecycle of system design, construction, and operation. Digital Twins now spearhead the virtual revolution, equipped to faithfully replicate each component through sensor-driven data collection. This replication aids in informed decision-making, monitoring complex systems, and validating novel products and services. Numerous companies already leverage digital twins within these domains to detect issues and enhance productivity. Conversely, accurate data collection and analysis from digital twins can pose challenges, potentially introducing ambiguity in decision-making and complicating object lifecycle management. Consequently, ongoing debates and discussions revolve around the fundamental concepts, frameworks, and technologies of digital twins. In this work, we delve into the realm of Industrial Applications of Digital Twins, exploring their merits and limitations. |
first_indexed | 2024-03-09T02:04:15Z |
format | Article |
id | doaj.art-e96074ef5ac44fc3ad7f29b494351ec0 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-03-09T02:04:15Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-e96074ef5ac44fc3ad7f29b494351ec02023-12-08T00:03:50ZengIEEEIEEE Access2169-35362023-01-011113514713515810.1109/ACCESS.2023.333853010336798Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial ApplicationsSabrina Manickam0https://orcid.org/0000-0002-5239-6815Laasya Yarlagadda1https://orcid.org/0009-0007-6812-4965Shynu Padinjappurathu Gopalan2https://orcid.org/0000-0002-4130-943XChiranji Lal Chowdhary3https://orcid.org/0000-0002-5476-1468School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, IndiaDigital Twins possess the capability to create virtual representations of a device’s components and dynamics. They transcend static images or blueprints, offering intricate models that reveal the entire lifecycle of system design, construction, and operation. Digital Twins now spearhead the virtual revolution, equipped to faithfully replicate each component through sensor-driven data collection. This replication aids in informed decision-making, monitoring complex systems, and validating novel products and services. Numerous companies already leverage digital twins within these domains to detect issues and enhance productivity. Conversely, accurate data collection and analysis from digital twins can pose challenges, potentially introducing ambiguity in decision-making and complicating object lifecycle management. Consequently, ongoing debates and discussions revolve around the fundamental concepts, frameworks, and technologies of digital twins. In this work, we delve into the realm of Industrial Applications of Digital Twins, exploring their merits and limitations.https://ieeexplore.ieee.org/document/10336798/Digital twinsindustry 4.0healthcaremanufacturingcargo logisticsengineering |
spellingShingle | Sabrina Manickam Laasya Yarlagadda Shynu Padinjappurathu Gopalan Chiranji Lal Chowdhary Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications IEEE Access Digital twins industry 4.0 healthcare manufacturing cargo logistics engineering |
title | Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications |
title_full | Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications |
title_fullStr | Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications |
title_full_unstemmed | Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications |
title_short | Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications |
title_sort | unlocking the potential of digital twins a comprehensive review of concepts frameworks and industrial applications |
topic | Digital twins industry 4.0 healthcare manufacturing cargo logistics engineering |
url | https://ieeexplore.ieee.org/document/10336798/ |
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