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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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Karim, O., Lahyani, H., Khatib, A. A., & Sedqui, A. (2025) · Lecture notes in information systems and organisation · doi:10.1007/978-3-032-06725-8_17 · Cited by 1
A Supply Chain Digital Twin Architecture for Semiconductor Industry
Soykan, B., Mondesire, S. C., Rabadi, G., & Bochenek, G. M. (2025) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-032-08147-6_7 · Cited by 1
ZHANG, Y.-J., Hua, Z. H. A. N., Jia-peng, W. U., & Rui-Jun, W. A. N. G. (2025) · INMATEH Agricultural Engineering · doi:10.35633/inmateh-77-88 · Cited by 1
Toward virtual bladder: real-time bladder volume monitoring with flexible AuCNT strain sensors
Cho, Y., Jo, Y., Kang, M., Shin, H., Cho, J. J., Jeong, H., Suh, H.-S., Pak, C. J., Park, J., Kwon, S., et al. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1717576 · Cited by 1
“By integrating continuous sensor data with computational modeling, such systems could enable closed-loop feedback and personalized therapy (Figure 1) (Erol et al., 2020; Singh et al., 2021; Vallée, 2023).”
Debnath, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33655-3.00003-1 · Cited by 1
Developing the systemic digital twin of an industrial enterprise with Σ
Krob, D., & Rauzy, A. B. (2026) · Digital Twin · doi:10.1080/27525783.2026.2618303 · Cited by 3
Adam, K., Pepper, N., Burr, C., Hodgkin, A. F., Korna, J., & Thomas, M. (2026) · AIAA SciTech Forum · doi:10.2514/6.2026-1793 · Cited by 1
“Given their data-driven nature, such systems lend themselves to the use or implementation of Artificial Intelligence and Machine Learning (AI/ML) [2].”
Monitoring Water Tables in Punjab: A Digital Twin Approach
Duggal, S., Sharma, K. N., & Shilpa (2025) · International Conference for Advancement in Technology (ICONAT) · doi:10.1109/iconat66879.2025.11362813 · Cited by 1
“This virtual model acts just like the real system, showing its behavior and changes over time [2] [3] [4].”
Digital Twin Applications in Agriculture: Emerging Prospects and Opportunities
Arti, Garima, Mohan, Y., & Kumar, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-5915-2_13 · Cited by 1
Tangible Twins: A Haptic Proxy and Digital Twin Framework for Virtual Physics Experiments
Li, Y., Ji, H., Zhang, Y., Zhang, H., Hu, X., & Luo, Y. (2025) · ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI) · doi:10.1145/3779232.3779274 · Cited by 1
“Its core principle involves creating a high-fidelity virtual model of a physical entity and maintaining a dynamic mapping and synchronization between the two through real-time data interaction [Singh et al. 2021].”
Lehmann, J., Häußermann, T. M., Wissenbach, T., & Reichwald, J. (2026) · IEEE Access · doi:10.1109/access.2026.3671689 · Cited by 2
“The origin and wide range of applications for DTs have evolved from a conceptual paradigm into a widely adopted engineering methodology that addresses common issues, such as optimization, monitoring, control, and real-time prognostics [11].”
AI-Powered Digital Twins: Revolutionizing Personalized Healthcare and Treatment Optimization
Chaudhari, A., & Reddy, K. T. V. (2026) · International Conference on Image Processing and Capsule Networks (ICIPCN) · doi:10.1109/icipcn67432.2026.11438433 · Cited by 1
“The approach is centered around a closed-loop operational pipeline that comprises four main elements [14],[15].”
Toplum 5.0 ve Sosyal Hizmet: Eleştirel Bir Bakış
Karabaldır, D., & Erkul, E. (2024) · Mülkiye Dergisi · doi:10.25064/mulkiye.1447314 · Cited by 1
Mazzetto, S., & Alnaim, M. M. (2026) · Sustainability · doi:10.3390/su18073634 · Cited by 1
“…sensors. https://doi.org/10.3390/su18073634 In this study, the term ‘digital twin’ is used in a simplified, non-real-time sense to denote a geometry-based and data-linked simulation model; it does not imply continuous data synchronization, bidirectional data exchange, or control functionality [27].”
InfluentialDigital twin understanding and adoption in small- and medium-sized enterprises: a case study
Koskinen, A., Kaarlela, T., Tuura, V., Timperi, M., Saunila, M., Verdugo, M., Obrezkov, L., Kurvinen, E., & Vuotikka, A.-J. (2026) · Digital Twin · doi:10.1080/27525783.2026.2653395 · Cited by 1
Gaurav, A., Pan, V. S.-H., Arya, V., Attar, R. W., Alhazmi, A. H., Alhomoud, A., & Chui, K. T. (2026) · Enterprise Information Systems · doi:10.1080/17517575.2026.2660128 · Cited by 1
“Research has shown that the Digital Twin approach improves predictive analytics and data precision, which are necessary to detect anomalies that indicate intrusions (Deng 2022; Deveci et al. 2023; Singh et al. 2021).”
An Overview of Principles, Enablers, Metrics and Emerging Technologies for Resilient Networks
Chemalamarri, V. D., Abdollahi, M., Bryant, A. R., Abolhasan, M., & Owen, R. (2026) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2026.3687133 · Cited by 1
“They enable real-time monitoring, system optimization, and resilience validation and experimentation [44].”
Mapping the future of medicine through digital twins
Emmert‐Streib, F., Tripathi, S., & Yli-Harja, O. P. (2026) · Frontiers in Molecular Medicine · doi:10.3389/fmmed.2026.1840371 · Cited by 1
“For a more comprehensive discussion, the reader is referred to (Mazuz and Biswas, 2026; Singh et al., 2021) for foundational conceptual work.”
A Human-Centred Architecture Integrating Digital Twin and Agentic AI for Predictive Maintenance
Mendonça, L., Barbosa, J., & Leitao, P. (2026) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit64854.2026.11491044 · Cited by 1
“…Digital Twin (DT) concept, defined as a “virtual representation of real-world entities and processes, synchronised at a specified frequency and fidelity” [6], has further advanced PdM capabilities by enabling real-time synchronisation, contextual awareness, and continuous system optimisation [7].”
Digital Twins as a Bridge Between Industry 5.0 and Education 5.0
Sterev, N., Miltchev, R., & Yordanov, D. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-1669-5.ch009 · Cited by 1
Using digital twins for co-designing cities: a review of digital participatory approaches
Thuresson, F., Lau, K., & Rizzo, A. (2026) · European Planning Studies · doi:10.1080/09654313.2026.2668560 · Cited by 1
“…the digital twin originates in manufacturing and product lifecycle management, where digital models were used to monitor performance, simulate scenarios and optimize operations across the lifecycle of physical assets (Singh et al. 2021), before later being extended to the building and urban scales.”
From Data to Physics: Physics-Informed Machine Learning Frameworks in Interdisciplinary Applications
Valentim, C. A., & David, S. A. (2026) · Dynamics · doi:10.3390/dynamics6020016 · Cited by 1
“The virtualization of complex systems accelerates innovation, decreases costs, mitigates risks and allows the development of more efficient and robust solutions to challenges presented in multiple disciplines [2].”
Feng, J., Iranmanesh, F., Taner, M., Baghaei, S., & Bayram, M. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115163 · Cited by 1
DevOps for and by digital twins leveraging virtual replicas in continuous software engineering
Beaumont, G. G., Beugnard, A., Laval, J., Martínez, S., Rabah, S., Urtado, C., Vauttier, S., & Akodo, B. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45573-5.00018-5 · Cited by 1
Chauhan, M. A., Gondal, I., Babar, M. A., & Shen, H. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45573-5.00034-3 · Cited by 1
Digital twins: an overview of the present with highlights of the future
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Federated learning and digital twins for lifecycle optimization in Urban building renewal
Zaofei, J., Liao, F., & Metwally, A. S. M. (2026) · Scientific Reports · doi:10.1038/s41598-026-57744-3 · Cited by 1
Design Aspects for Efficiency Improvement of Switched Reluctance Motor
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“A DT requires bidirectional integration, where the synchronised virtual model supports decisions that can affect the physical system through control, supervision, maintenance planning, or set-point adaptation (Fuller et al., 2020; Segovia and Garcia-Alfaro, 2022; Singh et al., 2021).”
InfluentialZhou, T., Gong, Z., Zhou, W., Bai, X., & Yao, W. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133497 · Cited by 1
A Physics-Informed Dual-Branch LSTM Network for UAV Position and Attitude Estimation
Weizheng, L., Meng, S., Zhang, R., & Luo, Q. (2026) · Sensors · doi:10.3390/s26134287 · Cited by 1
“…twin (DT) can be traced back to the “living model” developed by the National Aeronautics and Space Administration (NASA) during the Apollo missions [11,12], in which high-fidelity models were established on the ground to monitor, update, and predict the state and behaviour of spacecraft in orbit.”
Machkour, B., Rouky, N., Abriane, A., Fri, M., & Benmoussa, O. (2026) · Smart Cities · doi:10.3390/smartcities9080123 · Cited by 4
Wanigarathna, Y. R., Tarkoma, S., & Morabito, R. (2026) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms69089.2026.11668242 · Cited by 1
“Unlike static models, a DT maintains a bidirectional link with its Physical Twin (PT), receiving sensor data and sending back predictive insights or control signals [2].”
Raza, M., Bilberg, A., Malik, A. A., & da Silva, E. R. D. R. (2026) · Smart and Sustainable Manufacturing Systems · doi:10.1520/ssms20250001
Kumar, V., & Bhatia, M. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3731192 · Cited by 1
“The summary of cluster characteristics is given in Table XXIII [56], which is cited 12 times.”
Digital twins for sustainable urban last-mile logistics: an expert-informed implementation roadmap
Mohammed, A., Naghshineh, B., Kandy, A. K., Alaya, A., & Siddique, A. A. (2026) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2026.101884 · Cited by 1
A smart structure design framework for large scale complex electronic equipment
Zhang, J. (2022) · International Conference on Mechanical, Electronics and Electrical and Automation Control (METMS) · doi:10.1117/12.2635215 · Cited by 1
A New 5S Radar Structure Design Model Driven by Digital Twin
Deng, D., Ding, X., & Wang, L. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-1309-9_99 · Cited by 1
Design of a Digital Twin of a Robotic Cell for Product Quality Control
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Assets Information and Data Management for a Mature Digital Twin
Almadhoun, W. (2022) · Abu Dhabi International Petroleum Exhibition & Conference (ADIPEC) · doi:10.2118/211822-ms · Cited by 1
Participatory agent-based modelling in healthcare
Godfrey, T. E. (2022) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) · doi:10.1145/3550356.3552370 · Cited by 1
“Staff can use a computer model to create a ‘digital shadow’ [24] of their domain —modelling an intervention and conducting ‘what-if’ analysis to predict the intervention’s efficacy under a variety of conditions.”
BackgroundDigital Twins: Modelling Languages Comparison
Wahid, A., Zhu, J., Mauceri, S., Li, L., & Liu, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25891-6_13 · Cited by 1
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Stock market uncertainty determination with news headlines: A digital twin approach
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A Digital Twin Framework for Detecting the Damage Location
Aguilar, E., Awan, A., Salei, R., Eger, M., & Sotoudeh, Z. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-0197 · Cited by 1
УДОСКОНАЛЕННЯ МОДЕЛІ ЗГОРЯННЯ ПАЛИВА ДИЗЕЛЬНОГО ДВИГУНА ПРИ ЗАСТОСУВАННІ ЇЇ В ЦИФРОВОМУ ДВІЙНИКУ
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Soraggi, D., & Campanini, F. (2024) · Lecture notes in civil engineering · doi:10.1007/978-3-031-54118-6_15 · Cited by 1
DIGITAL TWINS IN CONTROL SYSTEMS
(2024) · Voprosy kiberbezopasnosti · doi:10.21681/2311-3456-2024-2-29-35 · Cited by 1
Advancing a Non-Contact Structural and Prognostic Health Assessment of Large Critical Structures
Chiu, W. K., Kuen, T., Vien, B. S., Aitken, H., Rose, L. R. F., & Buderath, M. (2024) · Sensors · doi:10.3390/s24113297 · Cited by 1
“There is significant interest in digital twin technology in both industry and academia [16–19], as well as in the water industry [17,20,21].”
BackgroundSmit, K., Mens, J., Gelder, C. D., & van Meerten, J. (2024) · doi:10.18690/um.fov.4.2024.18 · Cited by 1
Towards Safety-Based Digital Twins: A New Approach of Dynamic Safety-Related Database Structure
Naser, I. A., Bdiwi, M., & Ihlenfeldt, S. (2024) · IEEE International Symposium on Robotic and Sensors Environments · doi:10.1109/rose62198.2024.10591091 · Cited by 1
“Digital twins have significantly enhanced the communication and coordination between humans and robots by actively tracking human inputs and interactions, thereby optimizing production time and ensuring safety [3] [4].”
BackgroundUnveiling the Essence of Digital Twins
Mondal, H., Siddika, S., Nag, A., & Sil, R. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5893-1.ch001 · Cited by 1
From Tight Coupling to Flexibility: A Digital Twin Middleware Layer for the ShakeAlert System
Shrestha, S., Li, Z., Mottakin, K., Song, Z., & Zhu, Q. (2023) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3583740.3626805 · Cited by 1
Lightweight Web3D Twinning Fire Evacuation Simulation of Metro Station
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“Digital twins boast extensive applications across diverse fields [Jones et al. 2020], showcasing promising development prospects in numerous domains [Singh et al. 2021].”
Wu, J., Jangid, V. R., & Park, J. (2024) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813241261938 · Cited by 1
“Recently, digital twins have emerged as a new technology, which generates a digital representation of real-world environments or systems (Singh et al., 2021).”
Design and Optimization of Central Air Conditioning Systems Based on Digital Twin Technology
Peng, F. (2024) · doi:10.1145/3697467.3697665 · Cited by 1
“To overcome these challenges, digital twin technology has emerged [5].”
Ritu, T. H., Nag, A., Bairagi, A. K., & Rahman, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-69336-6_16 · Cited by 1
The Impact of Digital Twins on Accounting: Evidence from the Egyptian Environment
Abu-Musa, A. A. E.-S., & Rayan, A. M. (2024) · International Journal of Accounting and Management Sciences · doi:10.56830/ijams10202402 · Cited by 1
Aplicações, Desafios e Limitações dos Digital Twins na América Latina
Silveira, I. F., Cardoso, A., & Martins, V. F. (2024) · Congresso Latino-Americano de Software Livre e Tecnologias Abertas (Latinoware) · doi:10.5753/latinoware.2024.245538 · Cited by 1
Optimizing Large-Scale Inorganic Processes: Model-Based Digital Design of RH-DS Apparatus
Szczeblewski, S., Wachowiak, M., & Gębicki, J. (2025) · Processes · doi:10.3390/pr13010077 · Cited by 2
Nabizadeh, A. H. (2024) · Journal of Health and Biomedical Informatics · doi:10.34172/jhbmi.2024.21 · Cited by 1
Real-Time Monitoring and Analysis for Digital Twin of Floating Wind Turbine
Liu, Y., Ning, H.-C., & Hu, Z. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-0181-3_17 · Cited by 1
Developing Campus Digital Twin with Integrated 3D Point Clouds and 3D Modeling Techniques
Utama, R. N., Sutjiatmadja, J., Osmond, F., Stefan, L., Gunawan, A. A. S., Chowanda, A., Irwansyah, E., & Pramudya, F. S. (2024) · International Conference on Cybernetics and Intelligent System (ICORIS) · doi:10.1109/icoris63540.2024.10903904 · Cited by 1
“Earlier studies by M. Grieves and J. Vickers established the theoretical foundation of digital twins [8], and further research by A. Johnson and D. Roberts applied these concepts to industrial settings [9].”
Application of Modeling and Simulation in a Self-Reprogrammable Prototype of a Manufacturing System
Ferro, R., Oliveira, J. D. D., Cordeiro, G., & Ordonez, R. (2025) · Applied Sciences · doi:10.3390/app15063298 · Cited by 1
Computer Vision-Based Method for Digital Twin Modelling in Railway
Zhang, S., Leromancer, B., & Nicodème, C. (2024) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc58415.2024.10919750 · Cited by 1
“It refers to the virtual copy or model of any physical entity, both being interconnected via exchange of data [12].”
Artificial Intelligence Meets Digital Twin: The AI Asset Administration Shell
Reichardt, M., Gundall, M., Buch, D., Stricker, P. D., & Schotten, H. D. (2024) · IEEE Industrial Electronics Society Annual On-Line Conference (ONCON) · doi:10.1109/oncon62778.2024.10931277 · Cited by 1
“Allowing the asset and its digital representation to be in a reciprocal relationship, with the asset influencing its digital representation and vice versa, results in a DT [9].”
Digital Twins for Sophisticated Laboratory Automation for Energy Management and Security
Madur, P., Bureti, N., Rajeshkumar, S. J., & Mangalraj, P. (2025) · International Conference on Computer, Electrical & Communication Engineering (ICCECE) · doi:10.1109/iccece61355.2025.10940904 · Cited by 1
“The Digital twin technology brings real-world scenarios into the virtual world, which provides a more convenient way of interacting and controlling [1].”
Kuštelega, M., Mekovec, R., & Shareef, A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-97-9559-8_37 · Cited by 1
Role of Enterprise Digital Twin in Enhancing Business Agility
Mulpuru, D., Bhattacharya, K., & Barat, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-89654-5_3 · Cited by 1
Pawlak, S., Saternus, M., & Nowacki, K. (2025) · Energies · doi:10.3390/en18174580 · Cited by 3
Björklund, L., Schick, J., Lundteigen, M. A., & Glaser, M. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109733 · Cited by 1
Okita, S. Y. (2024) · Springer eBooks · doi:10.1007/978-981-13-2262-4_282-1 · Cited by 1
Industry 4.0 Technologies in Support of Circular Economy: A 10r-Based Integration FrameworkPreprint
Ciano, M. P., Peron, M., Panza, L., & Pozzi, R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4865819 · Cited by 1
Ciringione, L., Reigl, S., D'Onofrio, I., Poquet, O., Gabriel, F. C., & Stella, M. (2024) · doi:10.31234/osf.io/e5t7a · Cited by 1
Jammal, P., Fischer, O. J. P., Mavris, D. N., & Wagner, G. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5133921 · Cited by 1
A novel smart model for high-end equipment structure design
Deng, D., Li, P., & Deng, T. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2044/1/012132
Li, L. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2085/1/012022
“Taking two AESA radars including Sea Fire and Ground Fire as example, Thales Group built a mechanical-electrical-thermal digital twin model, which is proven to be able to significantly enhance collaborative design capability in means of model transfer throughout the whole development process, from initial radar requir…”
MethodThe role of trustworthiness in automated decision-making systems and the law
Wang, B. T. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.231388
Physics Informed Neural Networks for Thermal Analysis of Laser Powder Bed Fusion ProcessPreprint
Hosseini, E., Ghanbari, P. G., Müller, O., Molinaro, R., & Mishra, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4189609
Simulation-based digital twin for predictive maintenace
Ferraz, R., Silva, F. R. G. D., Fontes, C. E., Contessi, B. A., Campagnac, L. A., & Daoud, I. L. A. (2022) · Technical Papers ... Rio Oil & Gas · doi:10.48072/2525-7579.rog.2022.315
Digital Twin as a Revamping Tool for Construction Industry
Greeshma, A. S., & Philip, P. M. (2022) · doi:10.1002/9781119842316.ch6
Digital Twin Software Overview with Text Mining Techniques
Kolev, G., Lozeva, V., & Koleva, E. G. (2022) · International Conference Automatics and Informatics (ICAI) · doi:10.1109/icai55857.2022.9959990
“…twin, increasing the safety and reliability of physical twin, optimization of products and/or processes, their quality, reliability and maintenance, monitoring of the performance of the physical twin during its life-cycle, prediction of the performance and real-time control of physical twin [4, 5].”
BackgroundBuilding a COVID-Safe Navigation App Using a Meta-Model Based Context Server
Wojciechowski, M., & Pogscheba, P. (2022) · Sensors · doi:10.3390/s22249890
de Freitas, J. H. V., & da Silva, F. P. (2023) · doi:10.22533/at.ed.4272318013
GÊMEOS DIGITAIS O METAVERSO PARA AS URBANIZAÇÕES INTELIGENTES
de Santana, Í. T. S., Miranda, E. B., & Jankowitsch, J. (2023) · doi:10.22533/at.ed.4272318014
GEOTECNOLOGIA: UMA FERRAMENTA PARA USO EM CONTEÚDOS DE GEOGRAFIA E OUTRAS ELETIVAS NO ENSINO MÉDIO
Trindade, K. F., Rodriguês, G. A., Vieira, V. A., & do Amorim, J. C. (2023) · doi:10.22533/at.ed.4272318011
COMPARAÇÃO ENTRE AS TÉCNICAS DE OBTENÇÃO DE DADOS ESPACIAIS POR GNSS PÓS PROCESSADOS E RTK
Schirmer, G. J., & Cardoso, R. D. O. (2023) · doi:10.22533/at.ed.4272318012
Geociências: Desenvolvimento científico, tecnológico e econômico 3
da Costa, L. R. F. (2023) · doi:10.22533/at.ed.427231801
OPEN DATA AND BIG DATA MODEL FOR HIGHER EDUCATION AND POSSIBLE OUTCOMES
Kaynak, S., Kaynak, B., & ÖZMEN, A. (2023) · Mugla Journal of Science and Technology · doi:10.22531/muglajsci.1201726
Tyapukhin, A. P., Yumatov, A., & Vidishcheva, R. S. (2023) · Lecture notes in information systems and organisation · doi:10.1007/978-3-031-30351-7_17
Comparative Analysis of Methods and Algorithms for Building a Digital Twin of a Smart City
Lutsenko, V. V., & Babenko, M. G. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-34127-4_27
Metaverse Expands the Common Data Environment
Ishizawa, T. (2023) · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · doi:10.52842/conf.caadria.2023.1.677
The Development of a Robotic Digital Twin for the Life Science Sector
Hinchy, E. P., Cunningham, N., Doohan, A., Hassanpour, M., Nwanji, E., O’Malley, D., Ryan, A., & Zeinali, M. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-38241-3_64
Self-citationDIGITAL TECHNOLOGY IN ENGINEERING DESIGN TEACHING
Valentine, R. M., & Matthews, J. (2023) · International Conference on Engineering and Product Design Education (EPDE) · doi:10.35199/epde.2023.13
“feedback and control that are possible [15].”
A Simple Node Red Implementation for Digital Twins in the Area of Manufacturing
Musungate, B. N., & Ercan, A. T. (2023) · International Journal of Advanced Natural Sciences and Engineering Researches · doi:10.59287/ijanser.1497
Hong, L., Gong, H., Ji, H., Lu, J., Li, H., & Li, Q. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4609458
Retour d’expérience sur l’utilisation d’un jumeau numérique pour l’enseignement de l’automatisme
Gellot, F., Lecasse, S., Riera, B., & Philippot, A. (2023) · J3eA · doi:10.1051/j3ea/20231024
“Suite au projet de recherche FFCA (Factories of Future Champagne-Ardenne) du CPER PFEXCEL de la région Grand-Est, nous disposons du jumeau numérique [3] de notre atelier flexible Cellflex [4] (fig 1), ainsi chaque binôme dispose de sa propre machine pour les phases de tests.”
Background
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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