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About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
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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.
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“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]
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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
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“the manufacturing field [52].”
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Malik, A. A., & Bilberg, A. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.10.047 · Cited by 193
“According to Rosen [24] a prototype that mirrors the real-time operating conditions of a physical system is a twin.”
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“The possibility of identifying problems before they occur predestines the application of a DT for the manufacturing industry, where this technology is currently being used intensively and under further development [43, 44].”
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Cunha, B. Z., Droz, C., Zine, A., Foulard, S., & Ichchou, M. N. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2023.110535 · Cited by 176
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BackgroundDigital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning
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BackgroundMethodPeeking into the void: Digital twins for construction site logistics
Greif, T., Stein, N., & Flath, C. M. (2020) · Computers in industry (Print) · doi:10.1016/j.compind.2020.103264 · Cited by 162
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“, the scheduling of manufacturing steps, can be imitated by the DT [62], which optimizes decision support in manufacturing plans [37] before executing any production process.”
BackgroundWang, P., & Luo, M. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.012 · Cited by 184
Visualising the digital twin using web services and augmented reality
Schroeder, G., Steinmetz, C., Pereira, C. E., Muller, I., Garcia, N., Espindola, D., & Rodrigues, R. (2016) · 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2016.7819217 · Cited by 160
“Also in [8], the authors discuss about the importance of the Digital Twin for the future of manufacturing.”
BackgroundTowards next generation cyber-physical systems and digital twins for construction
Akanmu, A., Anumba, C., & Ogunseiju, O. O. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.027 · Cited by 159
“DTs have also been referred to as mirrors (reflections or virtual replica) of physical systems that characterize their real time behavior (Rosen et al., 2015, Tharma et al., 2018, Jiang et al., 2020a).”
BackgroundDigital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
Eckhart, M., & Ekelhart, A. (2019) · Security and Quality in Cyber-Physical Systems Engineering · doi:10.1007/978-3-030-25312-7_14 · Cited by 158
“According to Rosen et al. (2015), the concept of digital twins has its origins in NASA’s Apollo program, as a twin of a spacecraft was built for two purposes, viz., (i) training before the mission and (ii) supporting the mission by mirroring flight conditions based on data coming from the spacecraft…”
BackgroundMethodInfluentialDigital Twin for Machining Tool Condition Prediction
Qiao, Q., Wang, J., Ye, L.-K., & Gao, R. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.04.049 · Cited by 157
MES-integrated digital twin frameworks
Negri, E., Berardi, S., Fumagalli, L., & Macchi, M. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.05.007 · Cited by 213
Longo, F., Nicoletti, L., & Padovano, A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.01.001 · Cited by 153
A review on simulation in digital twin for aerospace, manufacturing and robotics
Phanden, R. K., Sharma, P., & Dubey, A. (2020) · Materials Today Proceedings · doi:10.1016/j.matpr.2020.06.446 · Cited by 150
Big data analytics for smart factories of the future
Gao, R. X., Wang, L., Helu, M., & Teti, R. (2020) · CIRP Annals · doi:10.1016/j.cirp.2020.05.002 · Cited by 187
“Given the variety of viewpoints in production, it is critical that data collection and management approaches support multiple viewpoints for different applications by dynamically linking different data, information, and models [76, 81, 172, 176, 180].”
BackgroundApplication of Digital Twin in Smart Battery Management Systems
Wang, W., Wang, J., Tian, J., Lu, J., & Xiong, R. (2021) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-021-00577-0 · Cited by 174
“[28] R Rosen, G von Wichert, G Lo, et al.”
BackgroundA review of digital twin applications in construction
Madubuike, O. C., Anumba, C. J., & Khallaf, R. (2022) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2022.008 · Cited by 147
“Rosen et al. (2015) identified the twin as a prototype that reflected the operations of the space vehicle in real-time.”
BackgroundMethodLattanzi, L., Raffaeli, R., Peruzzini, M., & Pellicciari, M. (2021) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2021.1911003 · Cited by 205
“Computer integrated manufacturing, digital information technologies, data analytics and data-driven services, are all examples of solutions that, if properly integrated and combined with the actual production resources, can improve the production process in terms of efficiency, productivity and flexibility (Tao and Zh…”
BackgroundInfluentialSahal, R., Alsamhi, S. H., & Brown, K. N. (2022) · Italian National Conference on Sensors · doi:10.3390/s22155918 · Cited by 145
“The term “digital twin”, DT, was first coined by NASA for a virtual replica of a physical structure in real space [1].”
BackgroundWagner, R., Schleich, B., Haefner, B., Kuhnle, A., Wartzack, S., & Lanza, G. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.04.219 · Cited by 145
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Xie, Y., Lian, K., Liu, Q., Zhang, C., & Liu, H. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.08.007 · Cited by 145
Mawson, V. J., & Hughes, B. (2019) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2019.04.008 · Cited by 142
“The digital twin is seen as the next step in model based systems engineering and this ‘communication by simulation’ allows assistance along the full life cycle of the operation with monitoring and control of the physical system which continuously updates the virtual model [44].”
MethodLee, J., Noh, S., Kim, H.-J., & Kang, Y.-S. (2018) · Italian National Conference on Sensors · doi:10.3390/s18051428 · Cited by 142
“[20] defined the role and significance of a digital twin in future manufacturing industry by comparing a digital-twin based design with a design based on a simple simulation.”
MethodA comprehensive survey on digital twin for future networks and emerging Internet of Things industry
Hakiri, A., Gokhale, A. S., Yahia, S. B., & Mellouli, N. (2024) · Computer Networks · doi:10.1016/j.comnet.2024.110350 · Cited by 181
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Iliuţă, M.-E., Moisescu, M.-A., Pop, E., Ionita, A.-D., Caramihai, S.-I., & Mitulescu, T.-C. (2024) · Applied Sciences · doi:10.3390/app14135454 · Cited by 134
“[28], Rosen et al., demonstrated how Digital Twin technology contributes to transforming cyber–physical production systems into autonomous ones.”
BackgroundAI methods in materials design, discovery and manufacturing: A review
Papadimitriou, I., Gialampoukidis, I., Vrochidis, S., & Kompatsiaris, I. Y. (2024) · Computational Materials Science · doi:10.1016/j.commatsci.2024.112793 · Cited by 156
Stark, R., & Damerau, T. (2021) · Digital Twin Technology · doi:10.1007/978-3-642-35950-7_16870-1 · Cited by 132
Wu, C., Lorenzo, G., Hormuth, D. A., Lima, E. A. B. F., Slavkova, K. P., DiCarlo, J. C., Virostko, J. M., Phillips, C. M., Patt, D. A., Chung, C. D., et al. (2022) · Biophysics Reviews · doi:10.1063/5.0086789 · Cited by 147
Mo, F., Rehman, H. U., Monetti, F. M., Chaplin, J. C., SANDERSON, D. R., Popov, A. A., Maffei, A., & Ratchev, S. M. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2022.102524 · Cited by 146
Digital Twin: Applying emulation for machine reconditioning
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Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems
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“The potential and flexibility of DT technology has generated significant research interest from academia and industry on applying DTs for supporting SM in practice, hailing DTs as the cornerstone technology for realizing SM [2], [10], [11], [12], [13].”
Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric study
El-Agamy, R., Sayed, H. A., al Akhatatneh, A. M., Aljohani, M. K. A., & Elhosseini, M. A. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10781-8 · Cited by 125
Modeling and implementation of a digital twin of material flows based on physics simulation
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New Paradigm of Data-Driven Smart Customisation through Digital Twin
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“Along its rapid development in different fields during the past decade, including aeronautics and space [3], [6]–[9], robotics [10], [11], manufacturing [12]–[14], and informatics [15], digital twin also has a huge potential in the transportation field.”
BackgroundA Feature-Based Framework for Structuring Industrial Digital Twins
Autiosalo, J., Vepsäläinen, J., Viitala, R., & Tammi, K. (2019) · IEEE Access · doi:10.1109/access.2019.2950507 · Cited by 151
“Several definitions have been proposed [1], [4], [6], [7], [12], [19], [21], [24], [27], [44]–[51] and each of them is valuable in their respective use cases.”
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Piras, G., Agostinelli, S., & Muzi, F. (2024) · Energies · doi:10.3390/en17020436 · Cited by 118
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“Importance of digital twins for autonomous systems in manufacturing was discussed in [12].”
BackgroundDigital twin-driven cyber-physical production system towards smart shop-floor
Zhang, H., Zhang, G., & Yan, Q. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-1125-4 · Cited by 126
“Rosen et al. (2015) pointed out that the digital twin approach was the next wave in modeling, simulation and optimization technology, and then introduced all available product data, which was stored in the digital twin and used for the optimization of the plant’s operation.”
BackgroundMethodThe Development of Digital Twin Technology Review
Wu, J., Yang, Y., Cheng, X., Zuo, H., & Cheng, Z. (2020) · ACM Cloud and Autonomic Computing Conference · doi:10.1109/cac51589.2020.9327756 · Cited by 114
“explained the application of digital twins in the manufacturing industry [35].”
BackgroundState-of-the-art survey on digital twin implementations
Liu, Y. K., Ong, S. K., & Nee, A. Y. C. (2022) · Advances in Manufacturing · doi:10.1007/s40436-021-00375-w · Cited by 126
van der Valk, H., Haße, H., Möller, F., & Otto, B. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-021-00727-7 · Cited by 113
“The concept of twins is a well-known and widely used technology in classical manufacturing processes since NASA used physical twins as a copy of space vehicles in the Apollo project (Rosen et al. 2015).”
BackgroundMethodYu, D., & He, Z. (2022) · Natural Hazards · doi:10.1007/s11069-021-05190-x · Cited by 170
“In this project, NASA made two identical spacecraft, one spacecraft left on the earth was called the twin, which was used to map the status of other spacecraft performing lunar missions (Rosen et al. 2015).”
MethodPsarommatis, F. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.03.021 · Cited by 123
Hofmann, W., & Branding, F. (2019) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2019.11.516 · Cited by 111
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics
Roehrl, M., Runkler, T., Brandtstetter, V., Tokic, M., & Obermayer, S. (2020) · IFAC-PapersOnLine · doi:10.48550/arxiv.2005.14617 · Cited by 110
“…to IFAC for publication under a Creative Commons Licence CC-BY-NC-ND Performant and expressive computer simulation models, able to seamlessly incorporate physical measurements, are key for digital twins ; these, in turn, are indispensable for the digitalization of industry (Rosen et al., 2015).”
Development of Digital Twin for Intelligent Maintenance of Civil Infrastructure
Mahmoodian, M., Shahrivar, F., Setunge, S., & Mazaheri, S. (2022) · Sustainability · doi:10.3390/su14148664 · Cited by 110
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“…fields including aeronautics and space (Glaessgen and Stargel, 2012, Tuegel, 2012), robotics (Schluse and Rossmann, 2016, Wang et al., 2020a), manufacturing (Rosen et al., 2015, Schroeder et al., 2016), informatics (Canedo, 2016), and transportation (Schwarz and Wang, 2022, Wang et al., 2022b).”
BackgroundA state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Kuntoğlu, M., Salur, E., Gupta, M. K., Sarıkaya, M., & Pimenov, D. Y. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-07425-4 · Cited by 129
“Integration of these types of systems opens new doors in productivity and makes easier to reach the Industry 4.0 target [65, 66].”
BackgroundInfluentialDigital Twin: Where do humans fit in?
Agrawal, A., Thiel, R., Jain, P., Singh, V., & Fischer, M. (2023) · Automation in Construction · doi:10.48550/arxiv.2301.03040 · Cited by 105
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“Digital Twin (DT) represents the next wave in modelling, simulation, and optimization technology [16].”
BackgroundA Specification-based State Replication Approach for Digital Twins
Eckhart, M., & Ekelhart, A. (2018) · CPS-SPC@CCS · doi:10.1145/3264888.3264892 · Cited by 104
“, [25]), we use it to describe emulated or simulated devices that may be connected to an emulated network.”
MethodWarke, V., Kumar, S., Bongale, A., & Kotecha, K. (2021) · Sustainability · doi:10.3390/su131810139 · Cited by 103
“The term “twins” in manufacturing was coined during NASA’s Apollo 13 program [36].”
BackgroundDigital Twin Perspective of Fourth Industrial and Healthcare Revolution
Khan, S., Arslan, T., & Ratnarajah, T. (2022) · IEEE Access · doi:10.1109/access.2022.3156062 · Cited by 129
“DT is a fruitful method to improve industries or companies productivity, and efficiency [142].”
MethodIs Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review
Agnusdei, G. P., Elia, V., & Gnoni, M. G. (2021) · Applied Sciences · doi:10.3390/app11062767 · Cited by 136
“[24] stated that DTs, by combining real data with simulation models, allowed for the drawing up of a forecast based on realistic data, thus providing a sort of guidance system that supports operators and planners during normal operation, as well as during maintenance and service.”
BackgroundMapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals
Mabkhot, M. M., Ferreira, P., Maffei, A., Podržaj, P., Mądziel, M., Antonelli, D., Lanzetta, M., Barata, J., Boffa, E., Finžgar, M., et al. (2021) · Sustainability · doi:10.3390/su13052560 · Cited by 142
“that also known as digital twin is an extended use of simulation not just in the design state and planning phase, but also in the entire lifecycle of manufactured products [77].”
BackgroundWang, Z.-Y. (2020) · Industry 4.0 · doi:10.5772/intechopen.80974 · Cited by 100
Reconfiguration of smart products during their use phase based on virtual product twins
Abramovici, M., Göbel, J., & Savarino, P. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.042 · Cited by 100
Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities
Guo, J., Bilal, M., Qiu, Y., Qian, C., Xu, X., & Raymond Choo, K.-K. (2024) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.05.023 · Cited by 99
Digital twins: a stepping stone to achieve ocean sustainability?
Tzachor, A., Hendel, O., & Richards, C. E. (2023) · npj Ocean Sustainability · doi:10.1038/s44183-023-00023-9 · Cited by 100
Digital twin-based job shop anomaly detection and dynamic scheduling
Li, Y., Tao, Z., Wang, L., Du, B., Guo, J., & Pang, S. (2022) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2022.102443 · Cited by 106
Information modeling for cyber-physical production system based on digital twin and AutomationML
Zhang, H.-J., Yan, Q., & Wen, Z.-T. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-020-05056-9 · Cited by 98
“DTcomprises the next wave in the digitization of shop floor [62].”
BackgroundDigital Twins for Ports: Derived From Smart City and Supply Chain Twinning Experience
Klar, R., Fredriksson, A., & Angelakis, V. (2023) · IEEE Access · doi:10.1109/access.2023.3295495 · Cited by 137
Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition
Deebak, B. D., & Al-Turjman, F. M. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22493 · Cited by 110
“Rosen et al. 52 demonstrated the modeling strategy of cyber ‐ physical production.”
BackgroundKumar, V. R. S., Khamis, A., Fiorini, S., Carbonera, J., Olivares-Alarcos, A., Habib, M., Gonçalves, P. J. S., Li, H., & Olszewska, J. (2019) · Knowledge engineering review (Print) · doi:10.1017/s0269888919000109 · Cited by 97
“Everything related to the production could be represented in the cyberspace, from the smallest and least significant raw material or component up to the complete product and all the machinery involved in its production (Rosen et al., 2015).”
Ellefsen, A. L., Æsøy, V., Ushakov, S., & Zhang, H. (2019) · IEEE Transactions on Reliability · doi:10.1109/tr.2019.2907402 · Cited by 116
Digital Twin Requirements in the Context of Industry 4.0
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A Reconfigurable Modeling Approach for Digital Twin-based Manufacturing System
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Shangguan, D., Chen, L., & Ding, J. (2020) · Symmetry · doi:10.3390/sym12081307 · Cited by 94
A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Cheng, R., Hou, L., & Xu, S. (2023) · Buildings · doi:10.3390/buildings13051143 · Cited by 94
Actionable cognitive twins for decision making in manufacturing
Rožanec, J. M., Lu, J., Rupnik, J., Škrjanc, M., Mladenić, D., Fortuna, B., Zheng, X., & Kiritsis, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.2002967 · Cited by 114
“…display behaviour (e.g.: informmost likely outcome of a workflow) by reacting to inputs achieved through simulations (Yuqian Lu et al. 2020; Rosen et al. 2015; Papanagnou 2020; Shao and Kibira 2018) (e.g.: workflow simulations) and AI models (Post, Groen, and Klaseboer 2017; Jaensch et al.…”
BackgroundMethodZhou, Y., Zang, J., Miao, Z.-Z., & Minshall, T. (2019) · Engineering · doi:10.1016/j.eng.2019.07.016 · Cited by 93
“New-generation intelligent manufacturing integrates digitalization, networkization, and intelligentization technologies, for instance predictive maintenance (PdM), remote maintenance platforms, and cognitive learning capability in products, production, and services [73,74].”
BackgroundThe impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
Attaran, M., Attaran, S., & Çelik, B. G. (2023) · Advances in Computational Intelligence · doi:10.1007/s43674-023-00058-y · Cited by 129
“Finally, DT solutions are vital for aligning people, equipment, and operational processes for efficient and compliant work execution and continuous improvement (Rosen et al. 2015).”
BackgroundAbdelrahman, M., Macatulad, E., Lei, B., Quintana, M., Miller, C., & Biljecki, F. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.112748 · Cited by 120
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The Digital Twin Concept in Industry – A Review and Systematization
Sjarov, M., Lechler, T., Fuchs, J., Brossog, M., Selmaier, A., Faltus, F., Donhauser, T., & Franke, J. E. (2020) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa46521.2020.9212089 · Cited by 132
“[50], 2015: “From a simulation point of view the Digital Twin approach is the next wave in modeling, simulation and optimization technology.”
BackgroundA Digital Twin Architecture Based on the Industrial Internet of Things Technologies
Souza, V., Cruz, R., Silva, W., Lins, S., & Lucena, V. (2019) · 2019 IEEE International Conference on Consumer Electronics (ICCE) · doi:10.1109/icce.2019.8662081 · Cited by 89
“…University of Amazonas, Manaus, Brazil {vss, sidneylins}@icomp.ufam.edu.br; {robsoncruz, wasacioli, vicente}@ufam.edu.br The information gathering from the environment and its context are one of the main features of IoT, consequently IIoT as well, and crucial for the DT aware the PT status [7].”
BackgroundDigital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction
Guerra, R. H., Quiza, R., Villalonga, A., Arenas, J., & Castano, F. (2019) · IEEE Access · doi:10.1109/access.2019.2928141 · Cited by 89
“It does so by making use of the best available representations (physical and virtual models) for perfect emulation and mirroring of the operating conditions of the corresponding real systems [2], [3].”
BackgroundFMU-supported simulation for CPS Digital Twin
Negri, E., Fumagalli, L., Cimino, C., & Macchi, M. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.12.033 · Cited by 89
From Simulation to Autonomy: Reviews of the Integration of Artificial Intelligence and Digital Twins
Sajadieh, S. M. M., & Noh, S. D. (2025) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-025-00750-z · Cited by 114
“…aerospace vehicles throughout their service lives Grieves [6] The concept of a virtual, digital equivalent to a physical product Rosen et al. [7] Very realistic models of the current state of the process and their behaviors in interaction with their environment in the real world—typically…”
Plug-and-Simulate within Modular Assembly Line enabled by Digital Twins and the use of AutomationML
Um, J., Weyer, S., & Quint, F. (2017) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2017.08.2360 · Cited by 88
Digital Twin: From Concept to Practice
Agrawal, A., Fischer, M., & Singh, V. (2022) · Journal of Management in Engineering · doi:10.48550/arxiv.2201.06912 · Cited by 87
“In the manufacturing industry, the primary purpose of DT has been to represent the system’s complex behavior, considering the possible consequences of external factors, human interactions, and design constraints (Rosen et al. 2015; Gabor et al. 2016).”
BackgroundInfluentialZobel‐Roos, S., Schmidt, A., Mestmäcker, F., Mouellef, M., Huter, M., Uhlenbrock, L., Kornecki, M., Lohmann, L., Ditz, R., & Strube, J. (2019) · Processes · doi:10.3390/pr7020094 · Cited by 87
Rabah, S., Assila, A., Khouri, E., Maier, F., Ababsa, F., bourny, V., Maier, P., & Mérienne, F. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.10.070 · Cited by 86
“…was born in the aerospace field and has only recently been adopted in industrial contexts as an example the ”Iron Bird” which is a test bench intended mainly to simulate a virtual air-plane model[6][4] [14] and di ff erent other example of the emergence of DT is in NASA’s new technology [8][26][24].”
MethodWu, Z. Y., Chew, A., Meng, X., Cai, J., Pok, J., Kalfarisi, R., Lai, K. C., Hew, S. F., & Wong, J. (2023) · Sustainable cities and society · doi:10.1016/j.scs.2023.104446 · Cited by 86
Can a Byte Improve Our Bite? An Analysis of Digital Twins in the Food Industry
Henrichs, E., Noack, T., Pinzón, A. M., Salem, M. A., Stolz, J., & Krupitzer, C. (2021) · Sensors · doi:10.3390/s22010115 · Cited by 99
A digital twin ecosystem for additive manufacturing using a real-time development platform
Pantelidakis, M., Mykoniatis, K., Liu, J., & Harris, G. A. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-09164-6 · Cited by 103
“As such, new production models have emerged, where ubiquitous connectivity of components provides data flow from product conceptualization and design to production and distribution [36].”
BackgroundCognition Digital Twins for Personalized Information Systems of Smart Cities: Proof of Concept
Du, J., Zhu, Q., Shi, Y., Wang, Q., Lin, Y., & Zhao, D. Y. (2019) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000740 · Cited by 103
“The potential application of DTs spans many stages and areas, including design (Lu et al. 1997; Maropoulos and Ceglarek 2010; Rosen et al. 2015), manufacturing (Schleich et al. 2017; Tao et al. 2018), service (Tao et al.”
BackgroundAgROS: A Robot Operating System Based Emulation Tool for Agricultural Robotics
Tsolakis, N., Bechtsis, D., & Bochtis, D. (2019) · Agronomy · doi:10.3390/agronomy9070403 · Cited by 84
“In particular, applications at a cyber level have to capture multi-physic and multi-scale operational aspects that mirror the corresponding physical reality [15].”
BackgroundDigital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Stadtmann, F., Rasheed, A., Kvamsdal, T., Johannessen, K., San, O., Kölle, K., Tande, J., Barstad, I., Benhamou, A., Brathaug, T., et al. (2023) · IEEE Access · doi:10.1109/access.2023.3321320 · Cited by 83
“A decade ago, it was first applied to high value assets such as aerospace vehicles, [26], [27, 28].”
BackgroundIntegration of real-time locating systems into digital twins
Ruppert, T., & Abonyi, J. (2020) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2020.100174 · Cited by 83
Digital Post-Disaster Risk Management Twinning: A Review and Improved Conceptual Framework
Lagap, U., & Ghaffarian, S. (2024) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2024.104629 · Cited by 82
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
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