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Digital Twin: Origin to Future
Open accessAbstract
Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin in real time and vice versa. Application of DT includes real-time monitoring, designing/planning, optimization, maintenance, remote access, etc. Its implementation is expected to grow exponentially in the coming decades. The advent of Industry 4.0 has brought complex industrial systems that are more autonomous, smart, and highly interconnected. These systems generate considerable amounts of data useful for several applications such as improving performance, predictive maintenance, training, etc. A sudden influx in the number of publications related to ‘Digital Twin’ has led to confusion between different terminologies related to the digitalization of industries. Another problem that has arisen due to the growing popularity of DT is a lack of consensus on the description of DT as well as so many different types of DT, which adds to the confusion. This paper intends to consolidate the different types of DT and different definitions of DT throughout the literature for easy identification of DT from the rest of the complimentary terms such as ‘product avatar’, ‘digital thread’, ‘digital model’, and ‘digital shadow’. The paper looks at the concept of DT since its inception to its predicted future to realize the value it can bring to certain sectors. Understanding the characteristics and types of DT while weighing its pros and cons is essential for any researcher, business, or sector before investing in the technology.
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“In accordance with DT characteristics, the DTP is able to simulate manufacturing scenarios and perform validation testing, evaluation and even quality control testing prior to the actual manufacturing process itself.This approach effectively reduces production costs and operational time by identifying flaws or possible risks of the physical twin before production.”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [10]
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“It is important to note that the development and widespread implementation of DTs depend on the advances in research and enabling technologies such as AI, ML, big data, 5G communication and cloud/edge computing [10,83].”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [10]
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“The proposed approach involved utilizing DT technology to replicate the aircraft's physical and mechanical characteristics, aiming to forecast potential fatigue or structural cracks.This strategy would effectively extend the operational lifespan of the aircraft [21].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [21]
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“Furthermore, the continuous transfer of information between DT and its physical counterpart enables ongoing validation and optimization of the system's processes [21].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [21]
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“However, the modern state of the art classifies and defines DTs based on the application domain [10] and their levels of integration.”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [10]
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“High costs of implementation due to the increased amount of sensors and computational resources needed [10,18].”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [10]
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“Issues related to data (trust, privacy, cybersecurity, convergence and governance, acquisition and large-scale analysis) [10].”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [10]
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Citations
Cites
Digital Twin in Industry: State-of-the-Art
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“…literature have referred to DT as a virtual or digital model [21,23,27–35], layout [36], counterpart [7,9,35,37], doppelganger [38], clone [39], footprint [40], software analogue [41], representation [42–46], information constructs [2,47], or simulation [20,26,48–51] of its physical counterpart.”
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Digital twin publications in construction (2017–2023): a bibliometrics-based visualization analysis
Foudah, A., Tarek, M., Essam, S., Hawary, M. E., Adel, K., & Marzouk, M. M. (2024) · Construction Innovation · doi:10.1108/ci-09-2023-0229 · Cited by 7
Exploring the Applications and Challenges of Digital Twins in Various Industries
Jyothi, A. P., Shankar, A., R, A. N. J., Koliparthy, K., Badiger, V. N., & Shivakumar, V. (2024) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct61223.2024.10543818 · Cited by 8
“[ 23].”
Fede, G., Sgarbossa, F., & Paltrinieri, N. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.09.124 · Cited by 7
Embracing the Digital Twin Paradigm for Urban Sustainability
Cheshmehzangi, A., & Ardakani, S. P. (2024) · Urban sustainability · doi:10.1007/978-981-97-8483-7_1 · Cited by 7
Enhancing e-learning with a digital twin for innovative learning
Habarurema, J. B., Fuccio, R. D., & Limone, P. (2025) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-02-2024-0034 · Cited by 8
Sarker, N. K., & Kaparaju, P. (2025) · ChemEngineering · doi:10.3390/chemengineering9050111 · Cited by 7
Weinberg, A. I. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-00916-x · Cited by 13
Schery, C. A. D., Caiado, R. G. G., Ivson, P., Santos, R. S., & Corseuil, E. T. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-08-2025-0502 · Cited by 11
A simple Node-RED implementation for digital twins in the area of manufacturing
Musungate, B. N., & Ercan, T. (2023) · Trends in Computer Science and Information Technology · doi:10.17352/tcsit.000068 · Cited by 7
SWIFT: Simulated Wildfire Images for Fast Training Dataset
Fernando, L., Ghali, R., & Akhloufi, M. A. (2024) · Remote Sensing · doi:10.3390/rs16091627 · Cited by 7
“A simple way to generate visual data for wildland fires is by using digital twin models of real-life scenarios [23].”
Alguirat, I., Zouari, A., & Lehyani, F. (2024) · International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA) · doi:10.1109/logistiqua61063.2024.10571453 · Cited by 7
“This revised model emphasized the bidirectional linkage between two spaces and the establishment of multiple virtual spaces within a singular physical space to facilitate the exploration of alternative concepts or designs [9].”
BackgroundLin, J., Li, Q., Wang, C., & Hu, Z. (2024) · Applied System Innovation · doi:10.3390/asi7040058 · Cited by 8
Digital Twins-enabled model for Smart Farming
Chauhan, D., Bahad, P., & Jain, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00020-8 · Cited by 9
Intelligent Acting Digital Twins (IADT)
Bounceur, A., & Kara, M. (2025) · IEEE Access · doi:10.1109/access.2025.3532545 · Cited by 10
“With this in mind, the term ‘‘Digital Twin’’ is proposed as an all-encompassing name for the concept, unifying the various research efforts under one simple umbrella term [4].”
A Survey on Digital Twin: From Industrial Applications to Cybersecurity
Patel, H. B., Akbarfam, A. J., & Maleki, H. (2024) · IEEE Smart World Congress (SWC) · doi:10.1109/swc62898.2024.00323 · Cited by 7
“It simulates manufacturing scenarios, performs validation testing, and helps reduce production costs and operational time by identifying issues prior to production [26].”
Nada, O. A. E. (2022) · التصميم الدولية · doi:10.21608/idj.2022.260602 · Cited by 8
“…تاريغتملا ةرثكل كلذو ،طيس (Kong et al., 2021) نفسلاك ةقلامعلا تاعانصلا لثم ، ًاضيأو ،ةيعانصلا رامقلأا قلاطلإ خيراوصلا دعاوقو تارئاطلاو لثم ةدحاو ةرم لاإ ثدحت نأ نكمي لا دق ىتلا تارابتخلإا ءارجإ ءاطخأ ىأ ىدافتل ةقلامعلا تانايصلاو ةيوونلا خيراوصلا براجتلا خلأا تاونسلا ىف ةددعتم ةجذمن تاينقت ترهظ…”
A Digital Twin Generic Architecture for Data-Driven Cyber-Physical Production Systems
Iliuţă, M.-E., Pop, E., Caramihai, S. I., & Moisescu, M. A. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-24291-5_6 · Cited by 8
MVNOCoreSim: A Digital Twin for Virtualized IoT-Centric Mobile Core Networks
Geißler, S., Wamser, F., Bauer, W., Gebert, S., Kounev, S., & Hoßfeld, T. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3263258 · Cited by 7
“The concept of the digital twin [9], however, enables the evaluation of new mechanisms by developing a close, digital replica of any real world system before deploying them in the real world.”
BackgroundSupporting the Implementation of Digital Twins for IoT-Enhanced BPs
Valderas, P. (2023) · Lecture notes in business information processing · doi:10.1007/978-3-031-33080-3_14 · Cited by 7
MARLIN: A cloud integrated robotic solution to support intralogistics in retail
Mronga, D., Bresser, A., Bermpohl, F. M. G., Danzglock, A., Stelter, S., Hawkin, A., Nguyen, H. G., Beetz, M., & Kirchner, F. (2024) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2024.104654 · Cited by 7
“Digital twins are increasingly used in industrial manufacturing and production to represent, simulate, monitor, analyze, and optimize production processes and product lifetime cycles [8].”
BackgroundBlending Human Ware with Software and Hardware in the Design of Smart Cities
Almusaed, A., & Almssad, A. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.109053 · Cited by 9
Possibilities with Digital Twin
Shah, V., & Suthar, A. C. (2022) · doi:10.1002/9781119842316.ch14 · Cited by 7
Sheng, X., Zhou, Y., & Cui, X. (2024) · Mathematics · doi:10.3390/math12162469 · Cited by 6
An Integrated Framework for Digital Twins in Hospitals
Sampaio, R. P., Costa, A. A., Flores‐Colen, I., Klungseth, N. J., Semini, M. G., & Nordvik, S. (2024) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/1389/1/012042 · Cited by 6
Guardia, M. L. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9040107 · Cited by 7
Yu, S., Zhang, M., Zhao, Z., Wang, P. P., & Huang, G. Q. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-11-2024-1106 · Cited by 8
定量相位成像的范式革新：从物理建模到物理驱动深度学习的智能化演进（特邀）
Linpeng, 卢. L., Xingyu, 黄. H., Shun, 周. Z., Yanbo, 金. J., Zhuoshi, 李. L., Jiasong, 孙. S., Qian, 陈. C., & Zuo, C. (2025) · Acta Optica Sinica · doi:10.3788/aos251631 · Cited by 8
A Survey on GenAI-Driven Digital Twins: Toward Intelligent 6G Networks and Metaverse Systems
Naeem, F., Ali, M., Kaddoum, G., Faheem, Y., Zhang, Y., Debbah, M. A., & Yuen, C. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3641307 · Cited by 8
“The DT paradigm creates virtual replicas of physical network elements for comprehensive modeling, simulation, and analysis [116].”
Optimizing electric vehicle fleets to develop smart charging infrastructure: a digital twin approach
Pandey, A. K., Amitha Bai, B., & Nandini, K. K. (2026) · Sustainable Energy Research · doi:10.1186/s40807-026-00240-z · Cited by 7
“Furthermore, a DT offers real-time insights that facilitate improved decision-making, enabling operators to foresee possible problems and effectively implement solutions (Singh et al., 2021; Xiang et al., 2019).”
Nguyen, T. D., & Adhikari, S. (2026) · Buildings · doi:10.3390/buildings16061151 · Cited by 7
Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control
Gronier, T., Maréchal, W., Geissler, C., & Gibout, S. (2022) · Energies · doi:10.3390/en16010123 · Cited by 6
Data-Driven Digital Mobile Network Twin Enabling Mission-Critical Vehicular Applications
Schippers, H., Böcker, S., & Wietfeld, C. (2023) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2023-spring57618.2023.10200830 · Cited by 7
“There is an emerging number of application areas for digital twins [4] and an exponential rise in publications covering digital twins [5].”
Digital Twin and Modelling a 3D Human Body in Healthcare
Klimo, M., Kvassay, M., & Kvaššayová, N. (2023) · International Conference on Emerging eLearning Technologies and Applications (ICETA) · doi:10.1109/iceta61311.2023.10343978 · Cited by 6
“The earliest concept is the Mirror Worlds created in 1991 [2].”
BackgroundInfluentialEnergy 4.0: Challenges and Enablers of Digital Twin Application in Power Plant
Shah, B. S. M. I., Ishak, A. J., Hassan, M. K., & Norsahperi, N. M. H. (2024) · ELEKTRIKA- Journal of Electrical Engineering · doi:10.11113/elektrika.v23n1.487 · Cited by 6
DigSiNet: Using Multiple Digital Twins to Provide Rhythmic Network Consistency
Rieger, S., Lux, L.-N., Schmitt, J., & Stiemerling, M. (2024) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms59830.2024.10575632 · Cited by 6
“Digital twins [1] [2] have proven to be a valuable asset in fields like the Industrial Internet of Things (IIoT) [3] [4].”
BackgroundOpančar, A., Głowacki, E. D., & Đerek, V. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad6a8b · Cited by 6
“Furthermore, due to the used process of model validation by using the stimulation pulses, our model has inherent ability to be used as a digital twin, by feeding the measured data dynamically back to the model for validation and parameter optimization [22, 23].”
Mertens, J., & Denil, J. (2024) · Software & Systems Modeling · doi:10.1007/s10270-024-01225-6 · Cited by 6
“An historic overview of the term digital twin shows that the definitions are numerous [9] and though they share common elements, no unanimous definition exists.”
NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking
Kabashkin, I. (2024) · Algorithms · doi:10.3390/a17110494 · Cited by 6
Design of Digital Twin Architecture for 3D Audio Representation in AR
Takada, T., Nakazato, J., Orsholits, A., Tsukada, M., Ochiai, H., & Esaki, H. (2024) · IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom) · doi:10.1109/metacom62920.2024.00044 · Cited by 5
“Recently, several visions for the future of society (e.g., Industry 5.0 and Society 5.0) have been proposed [1], [2].”
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Weerarathna, I. N., Kumar, P., Verma, P., Raymond, D., Luharia, A. A., & Mishra, G. (2024) · DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI) · doi:10.1109/idicaiei61867.2024.10842856 · Cited by 6
“Since then, the Internet of Things (IoT), data analytics, and computing power have rapidly advanced, propelling DT technology into several industries, including aerospace, automotive, and, more recently, healthcare [8].”
AI Explainability Methods in Digital Twins: A Model and a Use Case
Kreuzer, T., Papapetrou, P., & Zdravković, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-78338-8_1 · Cited by 8
“The concept has recently gained traction in research [26, 31, 33], and is increasingly applied in industrial scenarios [4, 38], mainly in the domain of manufacturing [34].”
BackgroundRosyadi, I., Nazaruddin, Y. Y., & Siregar, P. I. (2025) · Complex System Modeling and Simulation · doi:10.23919/csms.2025.0005 · Cited by 6
A Framework to Enable Eco‐Cyber‐Physical Systems for Robotics‐Focused Digital Twins in Smart Farming
Sibona, F., Harrison, N., Wallace, N., Stevens, C., Sukkarieh, S., Raubenheimer, D., Simpson, S. J., & González, L. A. (2025) · Journal of Field Robotics · doi:10.1002/rob.22562 · Cited by 6
“Its dynamic nature is enhanced through Digital Twins (DTs), originating in manufacturing and now widely adopted across industries (Singh et al. 2021; Tao et al. 2022).”
Tshabalala, P., & Kuriakose, R. B. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-5221-0_58 · Cited by 6
Exploring the Impact of IoT and Green Advertising on Consumer Behavior
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Lagartinho-Oliveira, C., Moutinho, F., & Gomes, L. (2022) · Computers · doi:10.3390/computers11110166 · Cited by 6
Enhancing IEC 61499 with an IEEE 1451 TIM Function Block
Abrishambaf, R., da Rocha, H., Gomes, D. E., & Espírito-Santo, A. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312113 · Cited by 6
HoLLiE C—A Multifunctional Bimanual Mobile Robot Supporting Versatile Care Applications
Steffen, L., Schulze, M., Eichmann, C., Koch, R., Hermann, A., Mussulin, R. F., Graaf, F., Wilbrandt, R., Besselmann, M. G., Roennau, A., et al. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-44981-9_11 · Cited by 6
Revolutionizing Structural Health Monitoring and Preserving Cultural Heritage via Digital Twins
Maurmo, D., Ruga, T., Zumpano, E., & Vocaturo, E. (2024) · IEEE International Workshop on Metrology for Living Environment (MetroLivEnv) · doi:10.1109/metrolivenv60384.2024.10615291 · Cited by 6
“Some of the key advantages [6] reported for DTs include: products.”
BackgroundMoulhérat, S., Pautrel, L., Débat, G., Étienne, M., Gendron, L., Hautière, N., Tarel, J., Testud, G., & Giménez, O. (2024) · Nature Conservation · doi:10.3897/natureconservation.57.108950 · Cited by 7
“…monitoring integration in the interconnected digital twins of the built environment offers a great opportunity to contribute to the survey of biodiversity global trends as a co-benefit of the ongoing digitalisation of landscape management (ANZLIC 2019; Singh et al. 2021; Moulherat et al. 2022).”
Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study
Maulik, S., Riordan, D., & Walsh, J. L. (2022) · Applied Sciences · doi:10.3390/app12147154 · Cited by 5
Novák, P., Douda, P., Kadera, P., & Vyskočil, J. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945350 · Cited by 6
“The latest state of the real system is continuously kept by a digital twin [16], [17].”
BackgroundKwon, K.-Y., Ku, N., & Lee, J. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10121825 · Cited by 6
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Gilbert, S., Drummond, D., Cotte, F., & Ziemssen, T. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1573727 · Cited by 6
Solmaz, A. Ş. (2025) · Journal of Innovative Engineering and Natural Science · doi:10.61112/jiens.1572660 · Cited by 5
Luo, L., Cheng, C., Mobley, W. H., Novoselac, A., Lieberknecht, K., & Leite, F. L. (2025) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-6253 · Cited by 5
Investigating determinants of digital twins for predictive maintenance
Nagrani, S., & Narwane, V. S. (2025) · Journal of Quality in Maintenance Engineering · doi:10.1108/jqme-05-2024-0047 · Cited by 5
Digital twin-enabled structural real-time monitoring for blended-wing-body underwater gliders
Dong, H., Li, J., Li, J., Long, W., & Liu, J. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.121980 · Cited by 5
Digital twin platform for real-time data communication in UAV environment
Bae, C.-H., Choi, E.-T., Kang, S., Ahn, R., & Lee, S. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.108078 · Cited by 5
Gaiatto, C. S., Antonello, F., Segneri, D., Eggleston, J., de Sousa, B. T., Palacios, B. A., Schiavo, A., Bartesaghi, M., Maass, J., & Inojosa, A. (2025) · Aerospace Science and Technology · doi:10.1016/j.ast.2025.110769 · Cited by 5
Liu, L., & Ding, Y. C. (2025) · Systems and Soft Computing · doi:10.1016/j.sasc.2025.200379 · Cited by 5
Impact of Digital Twins on Real Practices in Manufacturing Industries
Khan, M. Q., Alvi, M. A. H., Nawaz, H., & Umar, M. (2025) · Inventions · doi:10.3390/inventions10060106 · Cited by 6
“Ferro Rodrigo et al. address growth issues faced by the Brazilian textile industry, which ranks fifth internationally, using Discrete Event Simulation (DES) and genetic algo-rithm optimization [59].”
Hamadou, A. N. S., Du, S., Olwal, T. O., & van Wyk, B. J. (2025) · Applied Sciences · doi:10.3390/app16010073 · Cited by 5
Meng, Q., Hu, T., Zhou, S., & Li, J. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.131140 · Cited by 5
Akhtar, M. S., Gómez, F. R., Pandit, A., Mahmood, H., Khan, M. A., & Liu, J. (2026) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.5c10525 · Cited by 5
Calcaterra, V., Guardamagna, L., Gatti, A., Rossi, V., Patanè, P., Marin, L., Vandoni, M., & Zuccotti, G. (2026) · Digital Health · doi:10.1177/20552076261415934 · Cited by 6
Guidelines for providing digital twins
Göllner, D., Dzienus, S., Rasor, R., Anacker, D.-I. H., & Dumitrescu, R. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.09.189 · Cited by 5
Rathee, G., Saini, H., Chakkravarthy, S. P., & Maheswar, R. (2024) · International Journal of Network Management · doi:10.1002/nem.2299 · Cited by 5
“One such cutting-edge technology is digital twin having broad range of applications and implications, spanning from industries, education, and productivity and safety in various sectors [5, 6].”
Federation in Digital Twins and Knowledge Transfer: Modeling Limitations and Enhancement
Papacharalampopoulos, A., Christopoulos, D., Karagianni, O. M., & Stavropoulos, P. G. (2024) · Machines · doi:10.3390/machines12100701 · Cited by 5
Contrasting Capabilities: A Comparative Analysis of Simulation and Digital Twin Technologies
Wooley, A., & Silva, D. F. (2024) · Simulation foundations, methods and applications · doi:10.1007/978-3-031-69107-2_2 · Cited by 7
The Case for Micro Foundation Models to Support Robust Edge Intelligence
Kimura, T., Misra, A., Chen, Y., Kara, D., Li, J., Wang, T., Wang, R., Bhattacharyya, J., Kim, J., Shenoy, P. J., et al. (2024) · IEEE International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi62246.2024.00014 · Cited by 5
“Acies-OS is developed on the concept of digital twins [15], which provides virtual representations of the deployed physical systems and optimizes its run-time behavior (orchestration).”
Tanase, A., & Croitoru, C. V. (2025) · E3S Web of Conferences · doi:10.1051/e3sconf/202560801004 · Cited by 7
Amlashi, D. M., Voelz, A., & Karagiannis, D. (2025) · Neurosymbolic Artificial Intelligence · doi:10.1177/29498732251340187 · Cited by 5
“An IoT platform, or IoT middleware, acts as an integration layer (Razzaque et al., 2016), creating a digital model 1 of physical devices to mimic and control them in real-time (Singh et al., 2021).”
The Advent of the Digital Twin: A Prospective in Healthcare in the Next Decade
Rojas-Arce, J. L., & Ortega-Maldonado, E. C. (2021) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-85910-7_26 · Cited by 5
A Survey on Digital Twin in Aerospace in the New Space Era
Kim, M. U. (2022) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc55196.2022.9952929 · Cited by 6
“It reduces operational costs and time, increases system productivity, helps decision-making processes, improves maintenance performance, enables remote access and control, provides a safer working environment, and improves sustainability [2].”
BackgroundArquitectura básica de diseño de gemelos digitales para la construcción
Martínez-Manso, H., & Fernández, T. D. (2022) · Revista de Investigación Desarrollo e Innovación · doi:10.19053/20278306.v12.n2.2022.15275 · Cited by 5
“…Varas-Chiquito et al., 2020) Datos en tiempo real (Singh et al., 2021; Muñoz-La Rivera et al., 2021; Opoku et al., 2021; Torrecilla-García, Pardo-Ferreira & Rubio-Romero, 2021) Simulación y predicciones (Deng, Menassa & Kamat, 2021; Singh et al., 2021; Opoku et al., 2021) 330 Rev.Investig.Desarro.”
BackgroundInfluentialIşık, G. E., & Achten, H. H. (2023) · Proceedings of the Design Society · doi:10.1017/pds.2023.283 · Cited by 5
“The digital twin responds as a physical twin (Singh et al ., 2021, p. 1), living (animals, people, plants or etc.) or non-living objects (built environments, buildings or etc.) in the real environment (Pylianidis et al .”
BackgroundUser Experience–Digital Twin Maturity Model (UX-DTMM)
Manickam, R., Vollmar, J., & Prabhakar, G. M. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-99-0264-4_72 · Cited by 5
Bandara, D. W. J. W., Ranadewa, K. A. T. O., Parameswaran, A., Eranga, B. A. I., & Nawarathna, A. M. D. B. (2023) · World Construction Symposium (WCS) · doi:10.31705/wcs.2023.55 · Cited by 5
Imperative Role of Digital Twin in the Management of Hospitality Services
Ramnarayan, Singh, R., Gehlot, A., Joshi, K., Ibrahim, A. O., Abulfaraj, A., Binzagr, F., & Bharany, S. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0140956 · Cited by 5
“The digital twin can reflect a new product's engineering drawings and measurements as well as all the subcomponents and associated lineage in the larger supply chain from the design table to the end user [56].”
BackgroundOptimizing Digital Twin Design Through a QFD and AHP-Based Selection Methodology
Liu, J., Vatn, J., & Yin, S. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312389 · Cited by 5
Bizon, K. (2023) · Chemical and Process Engineering New Frontiers · doi:10.24425/cpe.2023.146726 · Cited by 5
“(Singh et al., 2021).”
BackgroundInfluentialA Next Generation Library of AI-Based Data-Driven Services for the Built Environment
Sarmas, E., Stamatopoulos, S., Kapsalis, P., Touloumis, K., & Marinakis, V. (2023) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa59645.2023.10345945 · Cited by 5
“Digital twins, as described in [14], are dynamic and self-evolving virtual models that accurately represent the current state of their physical counterparts.”
BackgroundPENERAPAN DIGITAL TWIN UNTUK MENGURANGI DAMPAK BENCANA
Patandianan, M. A., & Assidiq, F. M. (2022) · Riset Sains dan Teknologi Kelautan · doi:10.62012/sensistek.v5i2.24236 · Cited by 5
Horvath, A.-S., & Pouliou, P. (2024) · CRC Press eBooks · doi:10.1201/9781003425724-46 · Cited by 7
Digital Twins and 5G: Unlocking the Potential in the Energy Sector
Maksimović, M., Jokić, S., & Boskovic, M. C. (2024) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh60418.2024.10495937 · Cited by 5
“Although each DT has its specific characteristics, all types of DT technology share certain common features [9]: • High-Fidelity: DTs aim for precise replication of physical entities, enhancing simulation, modeling, and optimization capabilities [10].”
BackgroundBlockchain-Based Smart Monitoring Framework for Defense Industry
Alqahtani, A., Alsubai, S., Alanazi, A., & Bhatia, M. (2024) · IEEE Access · doi:10.1109/access.2024.3421573 · Cited by 5
“Defense officials can utilize the simulation to monitor a personnel’s daily activities in real time [31].”
BackgroundEngineering Systems with Standards and Digital Models: Development of a 15288-SysML Grid
Adams, K. M., Ibrahim, I., & Krahn, S. (2024) · Systems · doi:10.3390/systems12080276 · Cited by 5
Digital Twin Integration for Enhanced Control in FDM 3D Printing
Anand, S., Satyarthi, M. K., Bharti, P. S., Kumar, P., & Kumar, A. (2024) · Springer series in advanced manufacturing · doi:10.1007/978-3-031-68271-1_17 · Cited by 5
3D Remote Monitoring and Diagnosis during a Pandemic: Holoportation and Digital Twin Requirements
Rufai, K. A., Smiley, J., Reuter, P., Bain, C., Chan, P., Ens, B., & Purchase, H. C. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3698143 · Cited by 5
“A Digital Twin is the virtual representation of a physical system that is built using real-time data and used for analysis or prediction (see [25, 26, 65, 72]).”
Faller, L., Graßmann, M., & Lichtenstein, T. (2024) · Energy and AI · doi:10.1016/j.egyai.2024.100436 · Cited by 5
Maree, J.-M., Kruger, K., & Basson, A. H. (2024) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · doi:10.1145/3652620.3688251 · Cited by 5
“…types of DTs exceed the scope of this paper, but researchers have described the following core overlapping characteristics of a DT [24, 27, 34, 37]: • Dynamic : Communication between the DT and PT is bi-directional and data exchange can be automatic or manual with provision for a…”
Electrical digital twins–enabled smart grid
Tiwari, D., Bhatele, K. R., Jha, A., & Chaudhary, K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00021-x · Cited by 5
Development of a cloud-based toolchain for data science in fuel cell vehicles
Toussaint, J. N., Mertes, S., Schmidt, M., Sterlepper, S., Walters, M., & Pischinger, S. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.237276 · Cited by 5
Enhanced flame detection in virtual tunnels using DEV-YOLOv8 and digital twin systems
Li, Y., Song, X., Lin, F., & Xu, F. (2025) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2025.103143 · Cited by 5
Analyzing the Performance of a Digital Shadow for a Mixed-Model Stochastic System
Tshabalala, P., & Kuriakose, R. B. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-2130-8_50 · Cited by 5
Opportunities and perspectives of the digital twins’ conception: the case in agriculture
İbrahimov, F., Rzayeva, U., & Balayev, R. (2023) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2023.273975 · Cited by 5
“Digital twinning is the process of creating the digital equivalent of physical objects [4] and almost all digital technologies can be used in this process.”
BackgroundA faster path to sustainability: the use of Digital Twins
Maksimović, M. (2023) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh57020.2023.10094074 · Cited by 5
“Although each DT has unique properties, all forms of DT technology have several features in common: dynamic, highfidelity, hierarchy, identifiable, self-adaptation, selfoptimization, multidisciplinary, multi-scale, and multi-physical [8].”
BackgroundHow to Enrich Metaverse? Blockchains, AI, and Digital Twin
Li, J., Cai, S., Yang, Q., & Huang, H. (2023) · Springer eBooks · doi:10.1007/978-981-99-3648-9_2 · Cited by 5
Metadata
- Authors
- Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D.
- Affiliations
- Athlone Institute of Technology (IE)
- University of Limerick (IE)
- Corresponding author
- Devine, Declan
- Venue
- Applied System Innovation
- Publisher
- MDPI AG
- Published
- 2021-05-24
- Volume
- 4
- Issue
- 2
- Pages
- 36
- ISSN
- 2571-5577 (ISSN-L)
- OpenAlex
- W3164800436
- Cited by
- 1,038
- References
- 72
- Citations by year
- 2026: 189 · 2025: 275 · 2024: 260 · 2023: 198 · 2022: 102 · 2021: 14
- FWCI
- 74.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied System Innovation (publishedVersion, cc-by)
- University of Limerick Institutional Repository (University of Limerick) (acceptedVersion, other-oa)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Research@THEA (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by-nc-sa)
- Funders
- Science Foundation Ireland (16/RC/3918)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- digital twin, physical twin, Industry 4.0, real-time data exchange, predictive maintenance, digital thread, digital models, digital shadow, terminology confusion, industrial digitalization
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