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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.
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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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Digital twin modeling and simulation method for production line equipment units
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“…information application system has been gradually formed, integrating core industrial software such as PLM (product lifecycle management) [1], ERP (enterprise resource planning), and MES (manufacturing execution system), supporting collaborative R&D, lean management, and intelligent…”
Association of Shape Memory Alloys with Sustainability: A Perspective
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Chen, H., Wang, J., Han, T.-R., & Jin, X. (2024) · Indoor and Built Environment · doi:10.1177/1420326x241279567 · Cited by 5
“31,32 Through the rational application of data modelling and simulation modelling methods, the system can comprehensively cover all stages of the life cycle of urban renewal projects.”
Generating Digital Twins from SysMLv2 Models
Heermann, H., Herzog, M., Koch, J., & Grimm, C. (2024) · International Conference on Industrial Informatics · doi:10.1109/indin58382.2024.10774476 · Cited by 5
“[6], [7] focus on means for co-simulation in order to allow analysis and optimization based on realistic data from concrete instances.”
Tulasiraman, M., Dayanandan, U., Ferrnandez, T. F., Vellaichamy, V., & Rajasekeran, D. (2024) · Optical and quantum electronics · doi:10.1007/s11082-023-06133-5 · Cited by 5
“…can continuously update their virtual representations based on real-time data, resulting in more accurate and reliable predictions of equipment failure and maintenance requirements (Lee et al. 2014; Tao et al. 2019; Rosen et al. 2015; Lakshmi Narayanan and Naresh 2023a; Vinoth Kumar et al. 2021).”
Retractedda Silva, J. P. D., Alexandre, O., Markus, K., da Silva, G. P., & Negri, V. J. D. (2023) · Day 2 Wed, October 25, 2023 · doi:10.4043/32685-ms · Cited by 5
Häußermann, T. M., Lehmann, J., Rache, A., & Reichwald, J. (2023) · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · doi:10.1109/iceccme57830.2023.10253365 · Cited by 6
Chen, Y.-C., & Lai, C.-F. (2023) · Journal of Supercomputing · doi:10.1007/s11227-023-05068-8 · Cited by 5
“This method is a digital twin [52] of a concept often used in industry in recent years, and the experiment in this subsection will use this concept to evaluate the effect of the model.”
MethodSteady-State Risk Prediction Analysis of Power System Based on Power Digital Twinning
Li, Q., Zhao, F., Li, Z., Wang, Q., & Wu, C. (2023) · Sustainability · doi:10.3390/su15032555 · Cited by 6
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing
Kalach, F. E., Wickramarachchi, R., Harik, R., & Sheth, A. (2023) · IEEE Intelligent Systems · doi:10.1109/mis.2023.3235677 · Cited by 5
Baumgartner, P., Smith, D. V., Rana, M., Kapoor, R., Tartaglia, E., Schutt, A., Rahman, A., Taylor, J. R., & Dunstall, S. (2022) · arXiv.org · doi:10.48550/arxiv.2210.01344 · Cited by 5
“• Production planning and control [208]: for example, orders planning based on statistical assumptions; improved decision support through detailed diagnosis; and automatic planning and execution of orders by the production units.”
BackgroundIntegrating Digital Twins in Construction Education Through Hands-on Experiential Learning
Kangisser, S. J., Irizarry, J., Watt, K., Borger, R., & Burger, A. (2022) · Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC) · doi:10.22260/isarc2022/0035 · Cited by 5
“This connection is made possible by the development of advanced sensing computer vision, the internet of things, and advanced analytics [6].”
BackgroundDigital Twins — a Platform for Aircraft Engine Lifecycle Management
Salnikov, A., Gordin, M., Shmotin, Y., Nikulin, A. S., Makarov, P. V., & Frantsuzov, M. S. (2022) · Proceedings of Higher Educational Institutions Маchine Building · doi:10.18698/0536-1044-2022-4-60-72 · Cited by 5
Mobility Digital Twin with Connected Vehicles and Cloud Computing
Wang, Z.-R. (2021) · doi:10.36227/techrxiv.16828759.v1 · Cited by 5
A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation
Passath, T., Huber, C., Kohl, L., Biedermann, H., & Ansari, F. (2021) · Tehnički glasnik · doi:10.31803/tg-20210504111400 · Cited by 7
Architecture Design of Digital Twin Platform for AC&DC Hybrid Transmission System with MMC-HVDC
Zhou, J., Wei, J.-X., Xie, G.-W., Ran, L., & Zhang, Y.-Q. (2021) · doi:10.1088/1742-6596/1754/1/012041 · Cited by 5
“More importantly[4], the platform can analyze the effects of changing operation control strategies or appropriately strengthening the power grid, such as reducing wind abandon or light abandon, ensuring power quality, reducing loss, reducing power failure loss, and adjusting short-circuit level.”
BackgroundThe Challenge of Implementing Digital Twins in Operating Value Chains.
Werner, R., Takacs, R., Geier, D., Becker, T., Weißenberg, N., Haße, H., Sollacher, R., Thalhofer, M., Schumm, B., & Steinke, I. (2020) · Advances in Biochemical Engineering/Biotechnology · doi:10.1007/10_2020_153 · Cited by 5
Creation of a Digital Twin of a Truck Assembly Process
Makarova, I., Buyvol, P., & Gubacheva, L. (2020) · 2020 International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon49822.2020.9208179 · Cited by 5
“In particular, the authors in [3] established that the relevance of DT for the manufacturing industry lies in the use of virtual analogues of the physical devices.”
BackgroundKamburjan, E., & Stromberg, J. (2019) · F-IDE@FM · doi:10.4204/eptcs.310.8 · Cited by 5
“Recently, with the increasing integration of computational parts into devices, digital twins [30] and co-simulation [14] are used to develop new products and prototype changes.”
BackgroundImperative 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 technology can be used to duplicate processes in order to gather data and forecast their performance, in addition to physical assets [26].”
MethodA discussion about the qualification of digital twins for maintenance models
Liu, J., Liu, X.-H., Vatn, J., & Yin, S. (2023) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.10.807 · Cited by 5
Digital Twin for Smart School Buildings
Villa, V., & Chiaia, B. M. (2021) · Advances in civil and industrial engineering book series · doi:10.4018/978-1-7998-7091-3.ch015 · Cited by 9
Research on selection of commercial industrial simulation software oriented to virtual commissioning
Sun, W., Wu, J., Xiao, G., & Jin, Z. (2021) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/1906/1/012052 · Cited by 5
EA Blueprint: An Architectural Pattern for Resilient Digital Twin of the Organization
Edrisi, F., Perez-Palacin, D., Caporuscio, M., Hallberg, M., Johannesson, A., Kopf, C., & Sigvardsson, J. (2021) · EDCC Workshops · doi:10.1007/978-3-030-86507-8_12 · Cited by 5
Digital twin: a concept in evolution
Durão, L. F. C. S., Zancul, E. D. S., & Schützer, K. (2021) · Product Management & Development · doi:10.4322/pmd.2021.003 · Cited by 7
“Finally, cluster 4 (red) considers Digital Twin as a very realistic model of the state of the product and its behavior in the interaction with the physical world (Rosen et al., 2015).”
BackgroundImplementing Large-Scale Aerospace Assembly 4.0 Demonstration Systems
Sanderson, D., Turner, A., Shires, E., Chaplin, J., & Ratchev, S. (2020) · doi:10.1016/j.ifacol.2020.12.2759 · Cited by 5
Kadera, P., Rzevski, G., Zoitl, A., Anderst-Kotsis, G., Tjoa, A., & Khalil, I. (2019) · Holonic and Multi-Agent Systems for Manufacturing · doi:10.1007/978-3-030-27878-6 · Cited by 5
Efficient and Flexible Test Automation in Production Systems Engineering
Winkler, D., Meixner, K., & Novák, P. (2019) · Security and Quality in Cyber-Physical Systems Engineering · doi:10.1007/978-3-030-25312-7_9 · Cited by 5
Sato, R. S., Borsato, M., Iaksch, J., Fernandes, E., & Oliveira, K. V. D. (2018) · doi:10.1016/j.promfg.2018.10.035 · Cited by 5
A Digital Twins Platform for Digital Manufacturing
Gunaratne, M., Georgakopoulos, D., & Banerjee, A. (2026) · Electronics · doi:10.3390/electronics15030583 · Cited by 4
The Concept of a Hierarchical Digital Twin
Jarzyńska, M., Nierychlok, A., & Olender-Skóra, M. (2026) · Applied Sciences · doi:10.3390/app16020605 · Cited by 6
Digital twins as enablers for circular economy development in the context of Industry 4.0
Albrecht, R., & Hofer, A. (2025) · Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO) · doi:10.1007/s11612-025-00856-7 · Cited by 7
“The virtual-physical interaction enables real-time monitoring and adjustment of the manufacturing process (Rosen et al. 2015).”
Pattan, A., Bhandigani, M., Carpitella, S., Quaranta, S., Certa, A., & Aiello, G. (2025) · Environment Systems & Decisions · doi:10.1007/s10669-025-10053-y · Cited by 4
“…real-time digital counterpart of a physical object or process, several authors have proposed their own integration according to specific application fields, in terms of a virtual or digital model (Martínez-Gutiérrez et al. 2023; Rosen et al. 2015), emphasizing its adaptability across industries.”
Digital twins and IIoT: comparison of Prometheus and InfluxDB
Amirkhanov, B., Ishmurzin, T., Kunelbayev, M., Amirkhanova, G., Aidynuly, A., & Tyulepberdinova, G. (2025) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v14i5.9687 · Cited by 4
“In the automotive industry, they are used for real-time monitoring and diagnostics of vehicle components, increasing safety and operational efficiency [21].”
A Review of 3D Shape Descriptors for Evaluating Fidelity Metrics in Digital Twin
Khan, M. T. H., Han, S., Jauhar, T. A., & Noh, C. (2025) · Machines · doi:10.3390/machines13090750 · Cited by 4
Conceptual modelling method of multi-abstraction level digital twin based on extended RFLP model
Wu, C., & Cui, A. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2518905 · Cited by 3
Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines
Zhang, X., Liu, X., Song, Y., Li, X., Huang, W., Zhou, Y., & Liu, S. (2024) · Sensors · doi:10.3390/s24020612 · Cited by 6
“The twin was used to simulate flight conditions precisely and assist in the preparation for flights in advance [5].”
MethodThe Use of Digital Twins in Inverter-based DERs to Improve Nanogrid Fault Recovery
Eggebeen, A., Vygoder, M., Oriti, G., Gudex, J., Julian, A. L., & Cuzner, R. (2023) · European Conference on Cognitive Ergonomics · doi:10.1109/ecce53617.2023.10362598 · Cited by 4
“The intelligent agent, or simply the agent , of the DT follows a sense-decide-act loop [21], [22].”
BackgroundExploring the Feasibility of Data-Driven Emotion Modeling for Human Digital Twins
Oliveira, C. D. D., Khanshan, A., & Gorp, P. V. (2023) · Petra · doi:10.1145/3594806.3596535 · Cited by 4
“Even though there is yet no common definition of DT, conceptually, it can be interpreted as the digital representation of a physical entity [22, 27, 31].”
BackgroundIntelligent machine plus production line digital twin model construction technology
Guo, K.-C., Zhang, D.-S., Miao, L.-Q., Wang, J., Du, J., Li, S.-B., Qiao, H., & Sun, L. (2023) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/2478/10/102011 · Cited by 4
Telexistence-Based Remote Maintenance for Marine Engineers
Mazeas, D., Erkoyuncu, J., & Nöel, F. (2023) · 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw58643.2023.00089 · Cited by 4
“A DT is a virtual representation of a physical object or system, which can be used to simulate and analyze its behavior and performance [15].”
BackgroundAn Agent-based Realisation for a continuous Model Adaption Approach in intelligent Digital TwinsPreprint
Dittler, D., Lierhammer, P., Braun, D., Müller, T., Jazdi, N., & Weyrich, M. (2022) · arXiv.org · doi:10.48550/arxiv.2212.03681 · Cited by 4
“This requires information that, in the course of the above-mentioned digitalisation, is increasingly represented in the form of models (Rosen et al., 2015).”
BackgroundA Paradigm for Safe Adaptation of Collaborating Robots
Cioroaica, E., Buhnova, B., & Tomur, E. (2022) · International Symposium on Software Engineering for Adaptive and Self-Managing Systems · doi:10.1145/3524844.3528061 · Cited by 4
“In the literature, digital twins are defined as a combination of real-world data and simulation models [27, 28].”
BackgroundResearch on Modeling Method of System Reliability Digital Twin
Yang, H.-Q., Lai, Z., Liu, Y.-J., Hu, N., Diao, B., & Pan, Y. (2021) · 2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT) · doi:10.1109/cecit53797.2021.00179 · Cited by 4
“The application of digital twins in system reliability is mainly focused on condition monitoring, failure diagnosis and prediction in the use phase [15,19,20].”
BackgroundDigital Twin for Manufacturing Equipment in Industry 4.0
Moreno, T., Almeida, A., Ferreira, F., Caldas, N., Toscano, C., & Azevedo, A. (2021) · Advances in Transdisciplinary Engineering · doi:10.3233/atde210062 · Cited by 4
Utilizing Artificial Intelligence to Make Systems Engineering More Human
Barry, P., & Doskey, S. C. (2020) · Wiley eBooks · doi:10.1002/9781119698821.ch3 · Cited by 3
A Visual Particle System Based on Mechanism Model Data in Digital Twin
Gu, Z., & Gao, T.-H. (2020) · International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing · doi:10.1007/978-3-030-50399-4_18 · Cited by 4
A Monitoring Strategy for Industry 4.0: Master Italy s.r.l Case Study
Semeraro, C., Panetto, H., Lezoche, M., Dassisti, M., & Cafagna, S. (2019) · Insight · doi:10.1002/inst.12269 · Cited by 5
Cioroaica, E., Pudlitz, F., Gerostathopoulos, I., & Kuhn, T. (2019) · SICS Software-Intensive Cyber-Physical Systems · doi:10.1007/s00450-019-00426-5 · Cited by 4
The Characteristics of Digital Twin in Cyberspace: A Knowledge Perspective
Ling, W.-Q., & Guan, W. (2019) · International Conference Data Science and Business Analytics · doi:10.1109/icdsba48748.2019.00032 · Cited by 4
Using Structural and Parametric Polymorphism in the Creation of Digital Twins
Shvedenko, V., Shvedenko, V. V., & Shchekochikhin, O. V. (2019) · Automatic Documentation and Mathematical Linguistics · doi:10.3103/s0005105519020055 · Cited by 4
An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development
Chen, J.-W., Hu, Z.-C., Lu, J.-Z., Zhang, H.-S., Huang, S.-H., & Törngren, M. (2019) · International Symposium on Service Oriented Software Engineering · doi:10.1109/sysose.2019.8753883 · Cited by 4
“Moreover, data integration is challenged as the obstacles for realizing digital twins [7].”
BackgroundEstimating uncertainty of model parameters obtained using numerical optimisation
Brastein, O. M., Lie, B., Pfeiffer, C., & Skeie, N.-O. (2019) · Modeling, Identification and Control · doi:10.4173/mic.2019.4.3 · Cited by 4
“…Dynamic system models are important for a large range of scientific and industrial applications, such as model predictive control of dynamic systems Killian and Kozek [2016], Wang [2009] or creating digital twins of chemical process plants for monitoring or operator training Rosen et al. [2015].”
BackgroundReal-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method
Jiao, D., & Sun, J. (2018) · ISPRS Int. J. Geo Inf. · doi:10.3390/ijgi7120460 · Cited by 4
“In the manufacturing field, equipment is virtualized in computers system based on digital twins where the digital twin system collects equipment information through sensors and displays real-time information using virtual objects in systems [4,5].”
BackgroundTowards Computer-Aided Security Life Cycle Management for Critical Industrial Control Systems
Patzer, F., Meshram, A., Birnstill, P., Haas, C., & Beyerer, J. (2018) · Critical Information Infrastructures Security · doi:10.1007/978-3-030-05849-4_4 · Cited by 4
Flow semantics for intellectual control in IoT systems
Linger, R., & Hevner, A. (2018) · Journal of Decision Systems · doi:10.1080/12460125.2018.1529973 · Cited by 4
“To help maximise the value of such assets, the concept of a Digital Twin is receiving increasing attention (Rosen, von Wichert, Lo, & Bettenhausen, 2015).”
BackgroundRodriguez, E., & Álvares, A. J. (2025) · IEEE Access · doi:10.1109/access.2025.3641205 · Cited by 6
“Digitalization can be referred to as the ‘‘integration of digital technologies into everyday life by the digitization of everything that can be digitized’’, according to the Business Dictionary (2015) [2].”
Efficiency and Reliability Enhancement of High Pressure Die Casting Process Through a Digital Twin
Torres, P., Abio, A., Busqué, R., Brígido, A., Cruz, S., da Silva, M., & Bonada, F. (2022) · International Conference of the Catalan Association for Artificial Intelligence · doi:10.3233/faia220331 · Cited by 4
“A DT is defined as a digital mirror of a physical system created from real data which includes algorithms and decision making [2].”
MethodGao, X.-R., Zhang, Y., & Peng, J.-P. (2021) · Handbook of Nondestructive Evaluation 4.0 · doi:10.1007/978-3-030-48200-8_13-1 · Cited by 4
Zhang, L., Wang, F., & Li, F. (2019) · Simulation Foundations, Methods and Applications · doi:10.1007/978-3-030-17164-3_6 · Cited by 4
Abramovici, M., Wolf, M., & Neges, M. (2017) · doi:10.1007/978-3-319-49938-3_22 · Cited by 4
Prasath, N., Arun, A., Saravanan, B., & Kamaraj, K. (2025) · Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology · doi:10.3233/jifs-233495 · Cited by 3
“DTsleverageIoTdata,advancedanalytics,and simulationtechniquestocreateaccuraterepresen-tationsoftheirphysicalcounterparts,enablingthe monitoring,analysis,andoptimizationofsystemper-formance[14].”
RetractedLearning‐by‐twinning: Organizational digital twins and the future of search
Choudhury, P., Du, Y., & Lawrence, M. L. (2026) · Strategic Entrepreneurship Journal · doi:10.1002/sej.70061
Bratić, D., Preprotić, S. P., Cajner, H., & Preprotić, B. (2026) · Technologies · doi:10.3390/technologies14030170 · Cited by 3
Digital Twin Model of Treatment Outcomes in Post-Stroke AphasiaPreprint
Busby, N., Riccardi, N., Wilmskoetter, J., Jeakle, E. N., Newman-Norlund, R., Kristinsson, S., Rorden, C., Fridriksson, J., & Bonilha, L. (2026) · medRxiv · doi:10.64898/2026.02.03.26345022 · Cited by 3
“More recently, in a 2022 review of digital twin modelling in the literature, nearly half of the publications using digital twin modelling were related to manufacturing 25,30 .”
Domínguez-Ruiz, A., López-Caudana, E. O., Loyola, O., & Ponce, P. (2026) · Production & Manufacturing Research · doi:10.1080/21693277.2026.2621495 · Cited by 3
Wu, X., Wu, G., Zhang, X., Yang, Q., & Xie, L. (2026) · Technologies · doi:10.3390/technologies14010042 · Cited by 3
Dimensionality of BIM LODs in the Digital Twin Continuum
Asare, K. A. B., Liu, R., & Anumba, C. (2026) · Journal of computing in civil engineering · doi:10.1061/jccee5.cpeng-6479 · Cited by 3
A Scalable and Interoperable Platform for Transforming Building Information with Brick Ontology
Teymourzadeh, R., & Nakazawa, Y. (2025) · 2025 ASHRAE Annual Conference · doi:10.63044/s25asc31 · Cited by 3
“Many previous attempts to address challenges in the realm of building information were hindered by the lack of success, mainly attributed to concerns about scalability (Rosen et al. 2015).”
Thiel, R., Nguyen, L., & Derbel, F. (2025) · Menschenzentrierte Automation im digitalen Zeitalter · doi:10.33968/2025.21 · Cited by 3
“Auch im Maschinen-und Anlagenbau sind sie zunehmend von Bedeutung, etwa zur Überwa-chung und Steuerung von Fertigungsprozessen [10].”
IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State
Bleistein, T., Paulus, M., Gani, K., Becker, R., & Werth, D. (2025) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.2923 · Cited by 5
Fernandes, A., Gutierres, D., Fugihara, M. K., & Norman, B. D. (2024) · Online World Conference on Soft Computing in Industrial Applications · doi:10.1109/wsc63780.2024.10838965 · Cited by 3
AI-Based Cognitive Twin Models for Software-Defined IoT Security and Analytics
Gupta, R. K., Dhasmana, G., Lalitha, T., Appalakonda, V., Thacker, C. B., & Deshpande, G. (2024) · International Conference on Mobile Networks and Wireless Communications (ICMNWC) · doi:10.1109/icmnwc63764.2024.10872194 · Cited by 2
“The integration of SDN with IoT has given rise to Software-Defined IoT (SD-IoT) architectures, which decouple the control and data planes, thereby enabling centralized management, dynamic configuration, and scalability [12].”
Implementation of digital twin technology for bridge inspection using terrestrial laser scanner
Murjani, C. M., Pratama, R., Astor, Y., Wusqo, U., Widyaningsih, Y., Muflih, M., Pratama, D., & Nabesima, Y. (2024) · IOP Conference Series: Earth and Environment · doi:10.1088/1755-1315/1416/1/012039 · Cited by 3
Towards an European Open Continuum Reference Stack and Architecture
Rossini, R., & Lopez, L. (2024) · 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech) · doi:10.23919/splitech61897.2024.10612388 · Cited by 3
Digital Twin Architecture to Use for Optimizing an AoD-Printing Process
Pfannenstiel, H., Ungerer, M., & Sieber, I. (2024) · Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS · doi:10.1109/dtip62575.2024.10613180 · Cited by 3
Digital Twin Monitoring of Classes and Students
Leotlela, B., & Coetzee, M. (2024) · IST-Africa Conference (IST-Africa) · doi:10.23919/ist-africa63983.2024.10569389 · Cited by 4
“This technology enables real-time monitoring, emulates real-world scenarios, and provides predictive data, all in a virtual space [13].”
BackgroundTowards the digital factory twin – design guide for creating a 3D factory model
Disselkamp, J., Grothe, R., Lick, J., Schütte, B., Brune, S., Schröder, L., & Dumitrescu, R. (2024) · Proceedings of the Design Society · doi:10.1017/pds.2024.200 · Cited by 3
“DFT will be crucial to the future of manufacturing (Rosen et al., 2015).”
BackgroundLi, W., Li, B., Gao, H., Peng, C., Zhang, W., Li, Y., & Ji, X. (2023) · International Symposium on Computer Science and Intelligent Control · doi:10.1109/iscsic60498.2023.00046 · Cited by 3
“…artificial intelligence, virtual reality, Internet of Things, etc., digital twin technology has been widely used in equipment modeling and simulation [2,3], design and manufacturing[4], factory test[5], operation control[6], fault diagnosis[7], asset management[8] and other life-cycle processes[9].”
MethodA Digital Twin Architecture for Automated Guided Vehicles using a Dockerized Private Cloud
Ellethy, M., George, M. A., Abouzeid, A., Shaaban, A., El-Gammal, A. G., Adham, R., Abdelsalam, M., & Elbatt, T. (2023) · 2023 IEEE Smart World Congress (SWC) · doi:10.1109/swc57546.2023.10448657 · Cited by 3
Identifying key factors for the development of the Industrial Metaverse
Müller, M., Bohné, T., & Jamboula, T. (2023) · 2023 IEEE Smart World Congress (SWC) · doi:10.1109/swc57546.2023.10448572 · Cited by 3
“Sharing data is also relevant in the industrial metaverse, as well as synthetic data generation, which, combined with data and simulations, allows new use cases with increased prediction performance [22].”
BackgroundWu, J., Wang, Z., Sarker, A., & Srivastava, M. B. (2023) · IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI) · doi:10.1145/3576842.3582363 · Cited by 6
“1 Digital twins, the replica of physical subjects in a virtual environment, have found their way in industrial manufacturing [36, 44], agriculture [49], and healthcare [2, 11].”
BackgroundMixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks
Yuan, D., Nam, Y., Feriani, A., Konar, A., Wu, D., Jang, S., Liu, X., & Dudek, G. (2023) · ICC 2023 - IEEE International Conference on Communications · doi:10.1109/icc45041.2023.10279642 · Cited by 3
“DTs’ applications often require large-scale autonomous systems to keep them practical and productive [11].”
BackgroundDesign of a Digital Twin for Spacecraft Network System
Zhao, Z., Wang, F., Gao, Y.-C., Li, T., Ying, L., Liang, W., Li, Y.-N., & Dong, Z. (2022) · International Conference on Electrical and Control Engineering · doi:10.1109/icece56287.2022.10048639 · Cited by 3
“During the Apollo program, NASA built two identical spacecraft, and the one left on the ground was called a twin.”
BackgroundInfluentialA Review of Digital Twin in Logistics: Applications and Future Works
Lin, K.-H., & Yao, Y. (2022) · Journal of Engineering Management and Systems Engineering · doi:10.56578/jemse010105 · Cited by 3
“From a simulation point of view the Digital Twin approach is the next wave in modeling, simulation and optimization technology [24].”
Method3D Data Fusion and Registration Technology of Substation Based on Digital Twin Space Analysis
Xu, M., Chen, X., Guo, Z., Peng, L., & Zhang, W. (2022) · International Conference on Information Technologies and Electrical Engineering (ICITEE) · doi:10.1145/3582935.3582987 · Cited by 1
Recent Development Techniques on Digital Twins for Manufacturing: State of the Art
Gandouzi, G., Belhadj, I., Hammadi, M., Aifaoui, N., & Choley, J. (2022) · IEEE Information Technologies & Smart Industrial Systems (ITSIS) · doi:10.1109/itsis56166.2022.10118420 · Cited by 1
“The DT is executed as a new generation of simulation technology [7].”
MethodRabe, M., & Kilic, E. (2022) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice/itmc-iamot55089.2022.10033175 · Cited by 5
An approach to development of the digital inspection twin based on CMM
Stojadinović, S., Majstorović, V., & Durakbasa, N. (2021) · Measurement: Sensors · doi:10.1016/j.measen.2021.100300 · Cited by 3
A Process Control Methodology Based on Digital Twins of Production System Objects
Shvedenko, V., Shvedenko, V. V., & Shchekochikhin, O. V. (2021) · Automatic Documentation and Mathematical Linguistics · doi:10.3103/s0005105521050046 · Cited by 3
“In [3, 5], it was shown that one of the promising areas of theory and practice of digital twins is their widespread use in production systems focused on Industry 4.”
BackgroundA Model Proposal For Digital Twin Development: Essential Oil Extraction PerspectivePreprint
de Andrade, M. A., Lepikson, H., & Machado, C. (2021) · Research Square · doi:10.21203/rs.3.rs-300217/v1 · Cited by 3
“Digital twins focused on PPC are generally created to help the production planning by providing statistical assumptions and detailed diagnosis so all this data can be used to optimize the plant’s operation [25].”
The Transformation Towards Smart(er) Factories: Integration Requirements of the Digital Twin
Waschull, S., Wortmann, H., & Bokhorst, J. A. C. (2020) · Advances in Production Management Systems · doi:10.1007/978-3-030-57993-7_22 · Cited by 3
Analysis of Machine Learning Algorithms in Smart Manufacturing
Ratnayake, D., Lohit, P., Singh, B., & Mishra, V. (2020) · 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito48877.2020.9198017 · Cited by 3
“This in turn assists manufacturers in identifying the most rewardable manufacturing techniques, predict difficulties, deliver early warnings, and even design better products at lower costs [4].”
BackgroundIndustry Practices of Digital Twin Technology Application in the Russian Federation
Zinchik, N. S., Zarembo, V. E., Sintsova, E., & Bichurina, V. A. (2020) · Proceedings of the III International Scientific and Practical Conference "Digital Economy and Finances" (ISPC-DEF 2020) · doi:10.2991/aebmr.k.200423.006 · Cited by 3
“From the point of view of simulation forms’ development and their applicability in industries, ‘the digital twin approach is the next wave in modelling, simulation and optimization technology’ [5].”
BackgroundTowards Digital Twins for the Description of Automotive Software Systems
Blech, J. (2020) · QAPL · doi:10.4204/eptcs.312.2 · Cited by 3
“Digital twins as digital mirrors of (mostly physical) entities have gained popularity in the manufacturing domain [15] especially in the Industrie 4.0 [14, 1] context.”
BackgroundInfluentialWork-in-Progress: Industry 4.0 Production Line for Educational Use
Hauss, R., Schachinger, G., & Kalteis, G. (2019) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-030-40274-7_83 · Cited by 3
Challenges of Digital Twin System
Monsone, C. R., & Jósvai, J. (2019) · Acta Technica Jaurinensis · doi:10.14513/actatechjaur.v12.n3.514 · Cited by 6
“Especially when adopted in manufacturing, the DT has taken a new objective: to simulate the complex behaviour of production systems, also including external factors, as human presence and technical constraints [10].”
BackgroundDigital Twin – Integrating Cloud Services into Communication Protocols
Dasbach, T., Zancul, E. D. S., Schützer, K., & Anderl, R. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-42250-9_27 · Cited by 4
Description of an intelligent resource unit for a smart production
Klein, M., Leitzgen, M., & Weyrich, M. (2016) · IEEE International Conference on Emerging Technologies and Factory Automation · doi:10.1109/etfa.2016.7733584 · Cited by 3
“[10] describes a digital twin approach with the focus of production units and Rolle [11] depicts it for the intelligent product.”
Background
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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