The DOI matches its Crossref record.
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Open accessAbstract
Industrie 4.0 - the “brand” name of the German initiative driving the future of manufacturing - is one of several initiatives around the globe emphasizing the importance of industrial manufacturing for economy and society. Besides the socio-economical if not political question which has to be answered - including the question about the future of labor - there are a couple of substantial technical and technological questions that have to be taken care of as well.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In Table 1 seven articles developed ' ad-hoc ' systems to build DT: for the management of a didactic production line [26], to construct a MES in Android systems [43], to build user guides for safety reason [60,62], and to evaluate the performances of a cloud-based DT [74,75];”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [62]
In the citing paper
“For this aspect, the articles considered can be divided into two different categories: (i) those that effectively use a cloud and build a cloud-based DT application, marked in the table as [27,34,37,43,47,48,54,56,62,67,74-76], (ii) those that construct the DT application in a virtual space with the use of a software highlighting the possibility to build it also in a cloud”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [62]
In the citing paper
“Also, there are papers that mainly belong to the first group but also offer services of the second group ([39,40,50,70]), and vice versa ([56,61,62]).”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [62]
In the citing paper
“It can also be implemented for its capability to represent and deal with a continuous flow of data [48] [49].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [48]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 2
- Siemens 2014. A worldwide production language, Siemens Industry Journal, 01 | 2014 | siemens.com/industry
- Tenorth, 2013, KnowRob – A Knowledge Processing Infrastructure for Cognition-enabled Robots, International Journal of Robotics Research (IJRR), 32
Cited by
Sorted by citations
Items 401–500 of 1,003
Krenczyk, D., & Paprocka, I. (2023) · Materials · doi:10.3390/ma16062339 · Cited by 32
“The basic method that can achieve this goal is the extensive use of simulation modelling, both in the design and planning phases and during other phases of the system’s life cycle [16].”
BackgroundMethodInfluentialSysml 4 Digital Twins – Utilization of System Models for the Design and Operation of Digital Twins
Wilking, F., Sauer, C., Schleich, B., & Wartzack, S. (2022) · Proceedings of the Design Society · doi:10.1017/pds.2022.184 · Cited by 32
“Two identical space vehicles were used to mirror similar conditions during flights and enable more precise interpretation of data and thus recommendations (Rosen et al., 2015).”
Wang, Z., Feng, W., Ye, J., Yang, J.-B., & Liu, C. (2021) · Complex · doi:10.1155/2021/8838914 · Cited by 32
Digital Twin for Monitoring of Industrial Multi-Effect Evaporation
Soares, R. M., Câmara, M., Feital, T., & Pinto, J. (2019) · Processes · doi:10.3390/pr7080537 · Cited by 32
“Digital twins have attracted an increasing interest due to their claimed capacity of providing good quality information about the system in real time [18,19].”
BackgroundMay, M., Schmidt, S. L., Kuhnle, A., Stricker, N., & Lanza, G. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.01.050 · Cited by 32
“Autonomous production systems can simplify the application of smart methods [14], in particular intelligent production control systems, optimally in combination with a Digital Twin [12].”
MethodLocal Decision Making based on Distributed Digital Twin Framework
Villalonga, A., Negri, E., Fumagalli, L., Macchi, M., Castaño, F., & Haber, R. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.2806 · Cited by 32
An information and simulation framework for increased quality in welded components
Söderberg, R., Wärmefjord, K., Madrid, J., Lorin, S., Forslund, A., & Lindkvist, L. (2018) · CIRP Annals · doi:10.1016/j.cirp.2018.04.118 · Cited by 32
Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions
Naderi, H., & Shojaei, A. (2022) · IEEE Access · doi:10.1109/access.2022.3223557 · Cited by 31
“Since its first appearance in Michael W. Grieves’s Product Lifecycle Management (PLM) model in 2002 [1], the term Digital Twins (DTs) has gained increasing popularity and is now considered a key aspect of Industry 4.0 [2], [3], [4].”
BackgroundInfluentialYalavarthy, U. R. S., Kumar, N. B., Babu, A. R. V., Narasipuram, R. P., & Padmanaban, S. (2025) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2025.100949 · Cited by 23
Digital Twin-based bottleneck prediction for improved production control
Ragazzini, L., Negri, E., Fumagalli, L., & Macchi, M. (2024) · Computers & industrial engineering · doi:10.1016/j.cie.2024.110231 · Cited by 31
A Perfect Storm: Digital Twins, Cybersecurity, and General Contracting Firms
Parn, E., Ghadiminia, N., de Soto, B. G., & Oti-Sarpong, K. (2024) · Developments in the Built Environment · doi:10.1016/j.dibe.2024.100466 · Cited by 31
Construction and application of smart factory digital twin system based on DTME
Xia, L., Lu, J., Zhang, H., Xu, M., & Li, Z. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-08971-1 · Cited by 40
An online real-time estimation tool of leakage parameters for hazardous liquid pipelines
Zheng, J.-Q., Dai, Y., Liang, Y.-T., Liao, Q., & Zhang, H.-R. (2020) · Int. J. Crit. Infrastructure Prot. · doi:10.1016/j.ijcip.2020.100389 · Cited by 31
Product-Service System business model for printing houses
Salwin, M., Krasławski, A., Lipiak, J., Gołębiewski, D., & Andrzejewski, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122939 · Cited by 38
Kim, D. Y. (2019) · Sustainability · doi:10.3390/su11164416 · Cited by 31
“They deal with complementarity as an “alternative” aspect [42] or a “synergy” aspect [43,44].”
BackgroundA Function-Behaviour-Structure design methodology for adaptive production systems
Sanderson, D., Chaplin, J., & Ratchev, S. (2019) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-03823-x · Cited by 31
“As system behaviour is either derived from function or generated by structure, there are a number of different views that can be taken into consideration, including motion definition based on kinematics [22], high-level production actions given by a Business-to-Manufacturing Markup Language (B2MML) description [42], o…”
BackgroundDynamic resource allocation optimization for digital twin-driven smart shopfloor
Zhang, H., Zhang, G., & Yan, Q. (2018) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2018.8361283 · Cited by 39
“The concept Twin can date back to NASA’s Apollo program, where two identical space vehicles were built[1].”
BackgroundDigital Twin based Smart Manufacturing; From Design to Simulation and Optimization Schema
Ebni, M., Bamakan, S. M. H., & Qu, Q. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.08.109 · Cited by 36
Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPES Methodology
Böhm, W., Broy, M., Klein, C., Pohl, K., Rumpe, B., & Schröck, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-62136-0 · Cited by 31
Digital Twin-Enabled Internet of Vehicles Applications
Gao, J., Peng, C., Yoshinaga, T., Han, G., Guleng, S., & Wu, C. (2024) · Electronics · doi:10.3390/electronics13071263 · Cited by 30
“2015: Rios et al. defined DT as an interaction model between the real world and the world that reflects the current process of the real world [38].”
BackgroundScalable Digital Twins for industry 4.0 digital services: a dataspaces approach
Moreno, T., Almeida, A., Toscano, C., Ferreira, F., & Azevedo, A. L. (2023) · Production & Manufacturing Research · doi:10.1080/21693277.2023.2173680 · Cited by 31
“Thus, requiring the use of sensors to harvest data (on the physical entity) (Tao, Qi, et al., 2019) in real-time and transmitted through IIoT (the communication between the digital and physical) (Qi et al., 2018; Rosen et al., 2015) throughout the product’s lifecycle (Tao, Qi, et al., 2019).”
BackgroundLi, X., Shen, Y., Cheng, H., Yuan, F., & Huang, L. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3166794 · Cited by 35
“and Space Administration (NASA) has introduced DT-related concepts and began application research in moon landing since the 1960s [9].”
BackgroundChou, J.-R. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102689 · Cited by 27
Opportunities and Threats of Adopting Digital Twin in Construction Projects: A Review
Wang, M., Ashour, M., Mahdiyar, A., & Sabri, S. (2024) · Buildings · doi:10.3390/buildings14082349 · Cited by 29
Kampa, A. (2023) · Applied Sciences · doi:10.3390/app132212261 · Cited by 29
Digital Twin Application in Healthcare Facilities Management
Madubuike, O. C., & Anumba, C. (2022) · Computing in Civil Engineering · doi:10.1061/9780784483893.046 · Cited by 29
Martínez-Olvera, C. (2022) · Automation · doi:10.3390/automation3010010 · Cited by 29
“A Digital Twin (DT) is a structure of inter-connected digital replicas of physical entities [52,53] plus their related meta-information and semantics [54], that enables real-time interaction and integration [55] between the physical and digital worlds [56], i.”
BackgroundAnte, L., Fischer, C., & Strehle, E. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.01.005 · Cited by 44
“The publication with the highest factor loading and thus best overall fit in the stream is Rosen et al. (2015).”
BackgroundSystematization of Digital Twins
Barth, L., Ehrat, M., Fuchs, R., & Haarmann, J. (2020) · International Conference on Information Science and Systems (ICISS) · doi:10.1145/3388176.3388209 · Cited by 27
“Additionally, due to the plethora of existing solutions and concepts of DTs across industries, a diverse and incomplete understanding of this concept exists [17, 18, 23, 24].”
BackgroundOn event-driven knowledge graph completion in digital factories
Ringsquandl, M., Kharlamov, E., Stepanova, D., Lamparter, S., Lepratti, R., Horrocks, I., & Kröger, P. (2017) · 2017 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata.2017.8258105 · Cited by 29
Dissecting the Impact of Information and Communication Technologies on Digital Twins as a Service
Groshev, M., Guimarães, C., de la Oliva, A., & Gazda, R. (2021) · IEEE Access · doi:10.1109/access.2021.3098109 · Cited by 35
“Moreover, they facilitate the adjustment of the industrial production operations through autonomous factory planning [28], [29] as well as the lifecycle management of the production phase in small and medium-sized enterprises (SME) [30]–[32].”
BackgroundIndustrial applications of digital twins: A systematic investigation based on bibliometric analysis
Ren, J., Ahmad, R., Li, D., Ma, Y., & Hui, J. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103264 · Cited by 32
Digital Twin for wear degradation of sliding bearing based on PFENN
Dai, J., Tian, L., Han, T., & Chang, H. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102512 · Cited by 28
Developing campus digital twin using interactive visual analytics approach
Ye, X., Jamonnak, S., Zandt, S. V., Newman, G., & Suermann, P. C. (2024) · Frontiers of Urban and Rural Planning · doi:10.1007/s44243-024-00033-2 · Cited by 25
“Rosen et al. (2015) emphasize DTs’ potential in creating a modular computerized system that efficiently super-vises each step of manufacturing.”
Digital twin enabled structural integrity management: Critical review and framework development
Shen, L., & Brennan, F. (2024) · Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment · doi:10.1177/14750902241227254 · Cited by 28
“5 This offered engineers opportunities to test and assess the recovery strategy on earth, prior to providing instruction to the crew.”
An Established Theory of Digital Twin Model for Tunnel Construction Safety Assessment
Zhao, Y., Wang, N., & Liu, Z.-S. (2022) · Applied Sciences · doi:10.3390/app122312256 · Cited by 28
“In the manufacturing industry, DT is mainly used to describe the complex behavior of a system, considering the possible results of external factors, human-computer interaction and design constraints [22].”
MethodDesign Principles for Shared Digital Twins in Distributed Systems
Haße, H., van der Valk, H., Möller, F., & Otto, B. (2022) · Business & Information Systems Engineering · doi:10.1007/s12599-022-00751-1 · Cited by 30
“Within these projects, an identical version of the space capsule remained on Earth for test purposes during the mission (Rosen et al. 2015).”
BackgroundLoaiza, J. H., & Cloutier, R. J. (2022) · Systems · doi:10.3390/systems10020022 · Cited by 38
Aderiani, A. R., Wärmefjord, K., & Söderberg, R. (2021) · Robotics Comput. Integr. Manuf. · doi:10.1016/j.rcim.2021.102164 · Cited by 28
Intelligent methods and systems for decision-making support: Toward digital supply chain twins
Frazzon, E. M., Freitag, M., & Ivanov, D. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102281 · Cited by 42
Digital Twins for Industry 4.0: A Review
Çınar, Z., Nuhu, A. A., Zeeshan, Q., & Korhan, O. (2019) · Lecture notes in management and industrial engineering · doi:10.1007/978-3-030-42416-9_18 · Cited by 28
Automated Generation of as-manufactured geometric Representations for Digital Twins using STEP
Haag, S., & Anderl, R. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.04.305 · Cited by 28
Rethinking digital twin: Introducing digital risk twin for disaster risk management
Ghaffarian, S. (2025) · npj Natural Hazards · doi:10.1038/s44304-025-00135-x · Cited by 27
A review of building digital twins: Framework and enabling technologies
Zhang, X., Zheng, J., Li, P., Yang, Y., Yu, Y., Causone, F., & Shi, X. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.113117 · Cited by 24
Digital Twins in Critical Infrastructure
Λαμπρόπουλος, Γ., Larrucea, X., & Colomo‐Palacios, R. (2024) · Information · doi:10.3390/info15080454 · Cited by 40
Lunar rock investigation and tri-aspect characterization of lunar farside regolith by a digital twin
Ding, L., Zhou, R.-Y., Yu, T.-Y., Yang, H.-G., He, X.-M., Gao, H.-B., Wang, J.-T., Yuan, Y., Wang, J., Wang, Z.-Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46233-8 · Cited by 27
“Exempli fi ed by the regolith property identi fi cation, the digital twin originated in engineering 51 has gone beyond and emerges as a potent asset in planetary science 52 .”
Ji, T., Huang, H., & Xu, X. W. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.06.016 · Cited by 33
On generative models as the basis for digital twins
Tsialiamanis, G., Wagg, D. J., Dervilis, N., & Worden, K. (2021) · Data-Centric Engineering · doi:10.1017/dce.2021.13 · Cited by 27
“For example, attempts have been made to do this in the fields of manufacturing [30, 40], control systems & the internet of things [31], smart cities [7], social networks, and management [21] — more detailed literature reviews and descriptions of state-of-the-art research relating to digital twins can be found in the r…”
BackgroundDigital Twins in Simulative Applications: A Taxonomy
van der Valk, H., Hunker, J., Rabe, M., & Otto, B. (2020) · Online World Conference on Soft Computing in Industrial Applications · doi:10.1109/wsc48552.2020.9384051 · Cited by 27
“In the context of simulative applications, Rosen et al. (2015) see a Digital Twin as the future of simulation, modeling, and optimization technology (Figure 1).”
BackgroundMethodInfluentialEnforcing Behavioral Profiles through Software-Defined Networks in the Industrial Internet of Things
García, S. N. M., Zarca, A. M., Hernández-Ramos, J. L., Bernabé, J. B., & Gomez, A. F. S. (2019) · Applied Sciences · doi:10.3390/app9214576 · Cited by 27
“0 scenario based on the use of digital twins [12].”
BackgroundDigital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0
Mon, B. F., Hayajneh, M., Ali, N. A., Ullah, F., Ullah, H., & Alkobaisi, S. (2025) · Computers, Materials & Continua · doi:10.32604/cmc.2025.061411 · Cited by 26
Digital twins in the minerals industry – a comprehensive review
Qu, J., Kizil, M. S., Yahyaei, M., & Knights, P. F. (2023) · Mining Technology Transactions of the Institutions of Mining and Metallurgy · doi:10.1080/25726668.2023.2257479 · Cited by 25
Saren, Q., Zhang, Z., Xiong, J., Chen, X. D., Zhu, D., Wu, W., Jin, X., & Shang, K. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02169-2 · Cited by 28
“The “Twins” concept dates back to NASA’s Apollo project (Rosen et al., 2015) when the twins were physical objects.”
InfluentialEleftheriou, O., & Anagnostopoulos, C. (2022) · Digital Twin · doi:10.12688/digitaltwin.17581.1 · Cited by 26
Underwater Simulators Analysis for Digital Twinning
Ciuccoli, N., Screpanti, L., & Scaradozzi, D. (2024) · IEEE Access · doi:10.1109/access.2024.3370443 · Cited by 26
Stief, P., Dantan, J., Etienne, A., & Siadat, A. (2018) · doi:10.1016/j.procir.2018.02.026 · Cited by 26
“Based on the data provided by CPS, simulations can be run with a digital twin to test different scenarios [11].”
BackgroundMethodInfluentialDigital twins in condition-based maintenance apps: A case study for train axle bearings
Márquez, A., Alberca, J. A. M., López, A. J. G., & Carmona, A. D. L. F. (2023) · Computers in industry (Print) · doi:10.1016/j.compind.2023.103980 · Cited by 25
Digital twins and 3D information modeling in a smart city for traffic controlling: A review
Rezaei, Z., Vahidnia, M., Aghamohammadi, H., Azizi, Z., & Behzadi, S. (2023) · Journal of Geography and Cartography · doi:10.24294/jgc.v6i1.1865 · Cited by 25
“0 and DTS [68] 32 2019 42 Journal Investigating the challenges of implementing digital twin applications for logistics systems [69] 33”
BackgroundLehmann, J., Schorz, S., Rache, A., Häußermann, T., Raedle, M., & Reichwald, J. (2023) · Italian National Conference on Sensors · doi:10.3390/s23010468 · Cited by 25
“All the possibilities could thus be simulated and validated before the real execution to avoid a fatal outcome of a mishandling [19,20].”
BackgroundDigitale Zwillinge – Eine explorative Fallstudie zur Untersuchung von Geschäftsmodellen
Klostermeier, R., Haag, S., & Benlian, A. (2018) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-018-0406-x · Cited by 25
“Dieser noch real existierende „Zwilling“ diente Astronauten vor der Mission zur Vorbereitung und Ingenieuren während der Mission, um auf Basis von Daten des aktiven Raumfahrzeugs notwendige Lösungen zu erarbeiten (Rosen et al. 2015).”
BackgroundInfluentialThe Application and challenge of Digital Twin technology in Ship equipment
Wu, W., Chen, G., & Zi-chun, Y. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1939/1/012068 · Cited by 21
Ardebili, A. A., Longo, A., & Ficarella, A. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202131209002 · Cited by 23
Thürer, M., Li, S. S., & Qu, T. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.269 · Cited by 37
Guo, F., Liu, J., Zou, F., Yunong, Z., Zhongqi, W., & Shaozhuo, L. (2019) · Journal of Mechanical Engineering · doi:10.3901/jme.2019.17.110 · Cited by 30
Application of Digitization Procedures of Production in Practice
Sujová, E., Čierna, H., & Żabińska, I. (2019) · Management Systems in Production Engineering · doi:10.1515/mspe-2019-0004 · Cited by 24
A new era for digital twins: progress and industry adoption
Hasan, S., & Crawford, C. W. (2025) · Digital Twin · doi:10.1080/27525783.2025.2555877 · Cited by 34
Chen, Z., Mu, H., He, F.-Y., Yuan, L., Zhu, H.-T., Ma, N., & Pan, Z.-X. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.100899 · Cited by 24
Iqbal, F., & Mirzabeigi, S. (2025) · Buildings · doi:10.3390/buildings15101584 · Cited by 48
“DT technology has gained more rapid acceptance in AEC sectors than BE, with the construction industry adopting innovative technologies faster, while the BE sector has been slower to evolve [34–36].”
Zhang, H., Li, Y., Zhang, S., Song, L.-K., & Tao, F. (2025) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-025-01210-0 · Cited by 38
Implementation of digital twin-enabled virtually monitored data in inspection planning
Li, S., & Brennan, F. (2024) · Applied Ocean Research · doi:10.1016/j.apor.2024.103903 · Cited by 24
“The concept of twinning has its roots in the NASA’s Apollo program where a physical twin rather than a digital twin, was built to allow mirroring the in-service space vehicle (Rosen et al., 2015).”
BackgroundA digital twin for smart manufacturing of structural composites by liquid moulding
Fernández-León, J., Keramati, K., Baumela, L., & González, C. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-12637-x · Cited by 24
“A good example is the transition towards integrated digital manufacturing strategies, where concepts such as digital twins [4, 17, 33, 34, 37, 48], smart factories [41], and tools for accelerating product design are gradually transferred to the main actors [8, 24, 42].”
Interaction of Digital Twins in a Sustainable Battery Cell Production
Kies, A. D., Krauß, J., Schmetz, A., Schmitt, R. H., & Brecher, C. (2022) · Procedia CIRP · doi:10.1016/j.procir.2022.05.134 · Cited by 28
Lee, J., Chua, P. C., Liu, B., Moon, S. K., & Lopez, M. (2024) · International Journal of Production Economics · doi:10.1016/j.ijpe.2024.109447 · Cited by 28
Sharma, M., Vadalkar, S., Antony, R., Chavan, G., & Tsagarakis, K. P. (2024) · Computers & industrial engineering · doi:10.1016/j.cie.2024.110238 · Cited by 23
Park, J., Lee, J.-K., Son, M.-J., Yu, C., Lee, J., & Kim, S. (2024) · Buildings · doi:10.3390/buildings14030702 · Cited by 23
“This advancement has contributed to significant reductions in time, costs, and errors in construction projects [3].”
BackgroundDesigning and modeling of self-organizing manufacturing system in a digital twin shop floor
Song, J., Zhang, Z., Tang, D., Zhu, H., Wang, L., & Nie, Q. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-10965-6 · Cited by 22
“Rosen et al. [20] developed the theory of modularity-autonomy-connectivity-digital twin for digital twin implementation.”
Enabling Industry 4.0 Service-Oriented Architecture Through Digital Twins
Schnicke, F., Kuhn, T., & Antonino, P. (2020) · ECSA Companion · doi:10.1007/978-3-030-59155-7_35 · Cited by 23
A Comprehensive Survey on Digital Twin: Focusing on Security Threats and Requirements
Mun, H., Han, K., Damiani, E., Yeun, H. K., Kim, T., Martino, L., & Yeun, C. Y. (2025) · IEEE Access · doi:10.1109/access.2025.3563621 · Cited by 26
Digital twins in manufacturing: A unified conceptual framework
Villegas, L. F., Macchi, M., & Polenghi, A. (2025) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2025.101031 · Cited by 28
Towards a Requirement-driven Digital Twin Architecture
Nwogu, C., Lugaresi, G., Anagnostou, A., Matta, A., & Taylor, S. (2022) · Procedia CIRP · doi:10.1016/j.procir.2022.05.058 · Cited by 23
Challenges and opportunities in uncertainty quantification for healthcare and biological systems
Kimpton, L. M., Paun, L., Colebank, M., & Volodina, V. (2025) · Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · doi:10.1098/rsta.2024.0232 · Cited by 22
“The concept of a digital twin [1] originated in the early 2000s in manufacturing and was formally introduced by NASA in aerospace engineering [26] where they were used to mirror the behaviour of aircraft engines and other critical system components in space in real time.”
Emerging Challenges in the Sustainable Manufacturing System: From Industry 4.0 to Industry 5.0
Bhat, F. A., & Parvez, S. (2024) · Journal of The Institution of Engineers (India) Series C · doi:10.1007/s40032-024-01046-y · Cited by 27
Vittori, F., Tan, C. F., Pisello, A. L., Chong, A., Piselli, C., & Miller, C. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.116368 · Cited by 22
“The aggregation of these data sources in a collaborative process can be expressed as a digital twin, a concept that was brought to light for the first time in 2015 [4] when NASA’s engineers and scientists created two identical capsules.”
InfluentialSpindler, J., Kec, T., & Ley, T. (2021) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2021.107401 · Cited by 28
Choi, T., & Seo, Y. (2020) · Sensors · doi:10.3390/s20185386 · Cited by 20
“The physical objects receive the optimized operational results from virtual models and reflect them [11].”
BackgroundDigital Twin for NC Machining Using Complete Process Information Expressed by STEP-NC Standard
Zhao, G. L., Cao, X. Z., Xiao, W., Zhu, Y., & Cheng, K. (2019) · International Conference on Automation, Control and Robotics Engineering (CACRE) · doi:10.1145/3351917.3351979 · Cited by 22
“In product manufacturing, DTs make the system more reliable, flexible, and predictable [6][7].”
BackgroundControl from the Cloud: Edge Computing, Services and Digital Shadow for Automation Technologies
Brecher, C., Buchsbaum, M., & Storms, S. (2019) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2019.8793488 · Cited by 28
“Because models can be linked, a Digital Shadow has the ability to act intelligently [15, 16].”
BackgroundModoni, G. E., Trombetta, A., Veniero, M., Sacco, M., & Mourtzis, D. (2019) · International journal of computer integrated manufacturing (Print) · doi:10.1080/0951192x.2019.1571232 · Cited by 22
“Information authored by these resources is persisted into an RDF store (the Semantic Repository) in the form of semantic digital twin to keep track of the evolutions occurring in the Physical Layer (Rosen, von Wichert, Lo, & Bettenhausen, 2015).”
BackgroundAnalyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure
Emmert‐Streib, F., Tripathi, S., & Dehmer, M. (2023) · IEEE Access · doi:10.1109/access.2023.3290488 · Cited by 27
Ontology of 3D virtual modeling in digital twin: a review, analysis and thinking
Wang, Y., Wang, X., Liu, A., Zhang, J., & Zhang, J. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02246-6 · Cited by 28
General purpose digital twin framework using digital shadow and distributed system concepts
AboElHassan, A., Sakr, A. H., & Yacout, S. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109534 · Cited by 23
Physic-based vs data-based digital twins for bush bearing wear diagnostic
Regis, A., Arroyave-Tobón, S., Linares, J., & Mermoz, E. (2023) · Wear · doi:10.1016/j.wear.2023.204888 · Cited by 21
Design of a Digital Twin for an Industrial Vacuum Process: A Predictive Maintenance Approach
Yakhni, M., Hosni, H., Cauet, S., Sakout, A., Etien, E., Rambault, L., Assoum, H., & Elgohary, M. (2022) · Machines · doi:10.3390/machines10080686 · Cited by 21
Zhang, Y., Wang, J., Ahmad, R., & Li, X. (2021) · Engineering Construction and Architectural Management · doi:10.1108/ecam-11-2020-0955 · Cited by 21
Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System
Răileanu, S., Borangiu, T., Ivanescu, N., Morariu, O., & Anton, F. (2019) · Service Orientation in Holonic and Multi-Agent Manufacturing · doi:10.1007/978-3-030-27477-1_10 · Cited by 21
Concannon, D., Flynn, R., & Murray, N. (2019) · MMVE@MMSys · doi:10.1145/3304113.3326119 · Cited by 21
“Teleoperation naturally fits as a use case for Digital Twin [6] applications, an important aspect of the emerging Industry 4.0.”
BackgroundInfluentialUse case for the Application of the Industrial Metaverse Approach for Engineering Design Review
Bellalouna, F., & Puljiz, D. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.03.116 · Cited by 28
Digital Twins for Predictive Maintenance
Harries, T., Hartnoll, M., Hafezianrazavi, M., Meek, H., & Nassehi, A. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.06.053 · Cited by 21
Real-time resilient scheduling by digital twin technology in a flow-shop manufacturing system
Eunike, A., Wang, K., Chiu, J., & Hsu, Y. (2022) · Procedia CIRP · doi:10.1016/j.procir.2022.05.043 · Cited by 27
Barosan, I., Basmenj, A. A., Chouhan, S. G. R., & Manrique, D. (2020) · ECSA Companion · doi:10.1007/978-3-030-59155-7_39 · Cited by 21
Metadata
- Authors
- Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D.
- Affiliations
- Siemens (Germany) (DE)
- Siemens (United States) (US)
- Corresponding author
- Rosen, Roland
- Lo, George
- Bettenhausen, Kurt D.
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2015
- Volume
- 48
- Issue
- 3
- Pages
- 567-572
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2346505350
- Cited by
- 1,474
- References
- 2
- Citations by year
- 2026: 113 · 2025: 163 · 2024: 202 · 2023: 226 · 2022: 200 · 2021: 183 · 2020: 138 · 2019: 142 · 2018: 73 · 2017: 22 · 2016: 11
- FWCI
- 61.97
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- IFAC-PapersOnLine (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, digital twin, future of manufacturing, future of work, industrial automation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
