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 601–700 of 1,003
Li, R.-Y., Wang, S.-C., Wang, C., Wang, S., Zhou, B., Liu, X.-L., & Zhao, X.-D. (2023) · Machines · doi:10.3390/machines11070697 · Cited by 13
“By creating “twins” of on–orbit products, a digital–twin can reflect (or mirror) the state of the spacecraft carrying out missions [1].”
BackgroundJiao, Z., Du, X., Liu, Z.-S., Liu, L., Sun, Z., Shi, G.-L., & Liu, R. (2023) · Sustainability · doi:10.3390/su15129680 · Cited by 13
Kajba, M., Jereb, B., & Cvahte, T. (2023) · Energies · doi:10.3390/en16093922 · Cited by 21
“Publication Number of Citations in the Literature Pool Tao [38] 4 Rasheed [39] 4 Schellenberger [40] 4 Rosen [41] 3 Kritzing [42] 3 Fuller [43] 3”
Paasche, S., & Groppe, S. (2022) · BiDEDE@SIGMOD · doi:10.1145/3530050.3532928 · Cited by 13
“Due to their comprehensive capabilities, DTs are increasingly used in industry 4.0 [9, 11].”
BackgroundInfluentialPrototyping Autonomous Robotic Networks on Different Layers of RAMI 4.0 with Digital Twins
Barbie, A., Hasselbring, W., Pech, N., Sommer, S., Flögel, S., & Wenzhöfer, F. (2020) · International Conference on Multisensor Fusion and Integration for Intelligent Systems · doi:10.1109/mfi49285.2020.9235210 · Cited by 13
Digital twin: revealing potentials of real-time autonomous decisions at a manufacturing company
Feldt, J., Kourouklis, T., Kontny, H., & Wagenitz, A. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.05.033 · Cited by 13
Industry 4.0: Opportunities for Enhancing Energy Efficiency in Smart Factories
Mohamed, N., Al-Jaroodi, J., & Lazarova-Molnar, S. (2019) · IEEE Systems Conference · doi:10.1109/syscon.2019.8836751 · Cited by 13
“They can be used to perform simulation, evaluation, and optimization for different manufacturing systems and processes [39].”
MethodSpecification and design of an industrial manufacturing middleware
Gosewehr, F., Wermann, J., Borsych, W., & Colombo, A. (2017) · International Conference on Industrial Informatics · doi:10.1109/indin.2017.8104937 · Cited by 13
Internet of Things Driven Digital Twin for Intelligent Manufacturing in Shipbuilding Workshops
Liang, C., Li, X., Niu, W., & Zhang, Y. (2025) · Future Internet · doi:10.3390/fi17080368 · Cited by 15
“In 2015, Rosen suggested that DTs may utilize IoT to develop a highly accurate model, illustrating the workflow stages and behaviors of actual interactions with their environment [52].”
AgileChains: Agile Supply Chains through Smart Digital Twins
Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R., & Cabri, G. (2020) · Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference · doi:10.3850/978-981-14-8593-0_3697-cd · Cited by 13
“In Industry 4.0, the digital twin paradigm illustrated in Rosen et al. (2015) is currently adopted to represent, simulate and test the behavior of one or more machines and production plants belonging to an organization.”
MethodInfluentialMassel, L., & Massel, A. (2020) · E3S Web of Conferences · doi:10.1051/e3sconf/202020902019 · Cited by 13
Mechatronic Concept of Heavy Machine Tools
Janda, P. (2018) · DAAAM Proceedings · doi:10.2507/29th.daaam.proceedings.093 · Cited by 13
“But it is clear that digital twin is very important for the future of manufacturing [5].”
Sbarra, R. G., Pasquali, M., Coppotelli, G., Gaudenzi, P., di Ienno, D., Ciancarelli, C., & Picci, N. (2025) · Energies · doi:10.3390/en18215858 · Cited by 12
“Moreover, the physical entity continuously sends updated status data to the DT, which returns diagnostic insights and optimized commands, ensuring the physical side adapts to changes in real time [76].”
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach
Xu, L.-M., Proselkov, Y., Schoepf, S., Minarsch, D. E. N., Minaricova, M., & Brintrup, A. (2023) · IFAC-PapersOnLine · doi:10.48550/arxiv.2309.04785 · Cited by 12
Value Creation with Digital Twins: Application-Oriented Conceptual Framework and Case Study
Barth, L., Schweiger, L., Galeno, G., Schaal, N., & Ehrat, M. (2023) · Applied Sciences · doi:10.3390/app13063511 · Cited by 18
Contribution to the development of a digital twin based on CMM to support the inspection process
Stojadinović, S., Majstorović, V., Durakbasa, N., & Stanic, D. (2022) · Measurement: Sensors · doi:10.1016/j.measen.2022.100372 · Cited by 12
Kim, W.-G., Ham, N., & Kim, J.-J. (2021) · Sustainability · doi:10.3390/su132111784 · Cited by 12
“These different levels of digital twins are used in production planning and control [50], maintenance [52,53], and layout planning [54] to increase productivity and efficiency in manufacturing and other major fields.”
BackgroundEvaluation of the impact of wireless communication in production via factory digital twins
Mogensen, R., Rodriguez, I., Schou, C., Mortensen, S., & Sørensen, M. (2021) · doi:10.1016/j.mfglet.2021.01.006 · Cited by 12
Autonomous Industrial Management via Reinforcement Learning
Espinosa-Leal, L., Chapman, A., & Westerlund, M. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-189161 · Cited by 26
“The concept that includes a detailed model and description of a product, system or component in all its possible phases (product design, production system engineering, production planning, production execution, production intelligence and closed-loop optimisation) is known as digital twin [81, 82].”
Towards Cyber-Physical Infrastructure as-a-Service (CPIaaS) in the Era of Industry 4.0
Dobaj, J., Krisper, M., & Macher, G. (2019) · European Conference on Software Process Improvement · doi:10.1007/978-3-030-28005-5_24 · Cited by 12
Bridging the Gap Between Semantics and Control for Industry 4.0 and Autonomous Production
Kast, B., Albrecht, S., Feiten, W., & Zhang, J. (2019) · 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2019.8843174 · Cited by 12
Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project
Sanderson, D., Turner, A., Shires, E., Chaplin, J., & Ratchev, S. (2019) · SAE technical paper series · doi:10.4271/2019-01-1363 · Cited by 12
“changeability, self-resilience, self-improvement and co-creation as key facets of future responsive and flexible production systems [4,5,38] – these properties are generally considered key to the various trends broadly described as “Industrie 4.”
BackgroundInfluentialSingh, A., Maheshwari, A., & Singh, S. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.05.048 · Cited by 12
Abutalip, K., Al-lahham, A., & Saddik, A. E. (2023) · IEEE Access · doi:10.1109/access.2023.3236414 · Cited by 12
“toring in the industry [22], [23], [24], [25].”
Backgroundda Cruz, R. J. M., & Tonin, L. A. (2022) · Gestão & Produção · doi:10.1590/1806-9649-2022v29e9621 · Cited by 15
Wan, H., David, M., & Derigent, W. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.08.104 · Cited by 12
Development of a Predictive Maintenance 4.0 Platform: Enhancing Product Design and Manufacturing
Saidy, C., Valappil, S. P., Matthews, R., & Bayoumi, A. (2020) · Advances in Asset Management and Condition Monitoring · doi:10.1007/978-3-030-57745-2_86 · Cited by 12
Abramovici, M., Savarino, P., Göbel, J., Adwernat, S., & Gebus, P. (2018) · doi:10.1016/j.procir.2017.11.025 · Cited by 12
KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection
Xu, Q., Ali, S., Yue, T., Nedim, Z., & Singh, I. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3611643.3613879 · Cited by 11
“Digital Twin for CPS. DTs have been investigated to enhance the security and safety of CPSs. DT originates from the Apollo program for mission training and support [33].”
BackgroundLiu, Z., Mo, Y.-C., Hou, B.-W., Li, M., Li, W.-Y., & Xu, C.-S. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106445 · Cited by 11
Advancements in fault detection and diagnosis methods for electric vehicles: a review
Kumar, M. P., Velpula, S., Saiprakash, C., & Sahoo, B. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07758-9 · Cited by 16
“The use of intelligent Digital Twin (i-DT) in manufacturing for performing robotic assembly, fault diagnostics, smart manufacturing, and monitoring component health conditions is highlighted [21, 22].”
Leveraging digital twin and dynamic scheduling for enhanced human–robot collaboration
Hémono, P., Chabane, A. N., & Sahnoun, M. (2025) · International Journal of Production Economics · doi:10.1016/j.ijpe.2025.109823 · Cited by 16
Interoperability of AI-enhanced digital twins
Memon, U., Mayer, W., Selway, M., & Stumptner, M. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.100961 · Cited by 13
Zhang, T., Grzelak, D., Zhao, W., Islam, M. A., Fricke, H., & Aßmann, U. (2025) · Drones · doi:10.3390/drones9060394 · Cited by 10
Prognostics and Health Management Based on Next-Generation Technologies: A Literature Review
Zhou, F., Li, W., Su, L., & Feng, J. (2024) · Applied Sciences · doi:10.3390/app14146120 · Cited by 10
“Rosen et al. state that the concept of a digital twin is two identical physical and virtual spaces that are mirrored to analyze what is happening at various stages of an object’s life cycle [18].”
Research on digital twin monitoring system for hot stamping
Zhu, B., Tang, Y. M., Ran, J., Wang, Z., Wang, L., & Zhang, Y. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13727-0 · Cited by 9
“…holding pressure and holding time are achieved Built-in timer in CNC system C 12,13 The slider returns to the appropriate position Position sensor C 13,14 The press discharging robot completes the discharging operation Position sensor C 4,0 The heating furnace feeding robot returns to the waiting…”
Fusion method for digital twin model of a production line
Liu, X.-J., Wang, C.-X., Huang, J.-S., Ni, Z.-H., Salam, M., Yan, Y., & Feng, J. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13676-8 · Cited by 11
“Since the digital twin can reflect the dynamic mapping of physical products and their digital counterparts, it is considered the next wave of modeling, simulation, and optimization technologies [2].”
A Fault-Tolerant Communication Algorithm for Age-of-Information Optimization in DITENs
Yang, L., Zou, Y.-F., Shen, S.-K., Wang, P., Yu, D.-X., & Cheng, X.-Z. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3346928 · Cited by 11
“…the physical entities to their corresponding DTs is a crucial and foundational part in DITENs, as it keeps DTs fresh and enables DT systems to provide real-time simulations and predictions in various scenarios, such as manufacturing, healthcare, and smart cities [23], [24], [25], [26], [27], [28].”
BackgroundA categorical approach for defining digital twins in the AECO industry
Ghorbani, Z., & Messner, J. I. (2024) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2024.010 · Cited by 11
El Gemelo Digital y su aplicación en la Automática
Chicaiza, W. D., Gómez, J., Sánchez, A. J., & Escaño, J. M. (2024) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.4995/riai.2024.20175 · Cited by 15
“En cuanto al modelo, la granularidad se refiere al nivel de fidelidad con el que los modelos reflejan la realidad en distintos ámbitos (Rosen et al., 2015; Boschert and Rosen, 2016; Schleich et al., 2017).”
BackgroundWhen Digital Twins Meet Optical Networks Operations
Mello, D. A. A., Mayer, K. S., Escallón-Portilla, A. F., Arantes, D., Pinto, R. P., & Rothenberg, C. (2023) · Optical Fiber Communications Conference and Exhibition · doi:10.23919/ofc49934.2023.10117208 · Cited by 11
“The concept of building a twin for troubleshooting dates back to the Apollo Mission in the 70s, where accurate replicas of space vehicles were used to reproduce on the ground eventual adverse conditions encountered in space [1].”
BackgroundAnalytical Design of Optimal Fractional Order PID Control for Industrial Robot based on Digital Twin
Liu, X., & Luo, Y. (2022) · IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) · doi:10.1109/dtpi55838.2022.9998968 · Cited by 12
“In order to achieve this target, an universal technology to connect the physical system and virtual system is urgently needed, namely digital twin [5].”
BackgroundArchitecture Blueprints to Enable Scalable Vertical Integration of Assets with Digital Twins
Schnicke, F., Haque, A., Kuhn, T., Espen, D., & Antonino, P. (2022) · IEEE International Conference on Emerging Technologies and Factory Automation · doi:10.1109/etfa52439.2022.9921728 · Cited by 11
“0 [4].”
Automation of Modeling and Calibration of Integrated Preparative Protein Chromatography Systems
Tallvod, S., Andersson, N., & Nilsson, B. (2022) · Processes · doi:10.3390/pr10050945 · Cited by 11
Dynamic simulation models as digital twins of logistics systems driven by data from multiple sources
Krenczyk, D. (2022) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/2198/1/012059 · Cited by 11
“The very concept of a twin in the sense of a prototype/copy of an existing object that reflected real operating conditions to simulate its behaviour in real-time appeared during the implementation of the Apollo program by NASA [6].”
BackgroundMarquardt, T., Cleophas, C., & Morgan, L. E. (2021) · Online World Conference on Soft Computing in Industrial Applications · doi:10.1109/wsc52266.2021.9715332 · Cited by 11
“The main difference between digital twins and shadows lies in the autonomy of the model: Interventions can be automatic in the twin but require deliberate (human-supported) decisions in the shadow (Rosen et al. 2015).”
BackgroundDigital Twin and Manufacturing Simulation Integrated Platform embedded in cyber-physical system
Leng, B., Sun, H., Si, G., Xia, T., & Wang, H. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1983/1/012117 · Cited by 8
“Nevertheless, because of its ability to extend simulation to full life cycle of products, and because of the trend of CPS application, Digital Twin is viewed as the next wave in model, simulation and optimization [8, 14, 15].”
BackgroundDigital Shadows as an Enabler for the Internet of Production
Schuh, G., Gützlaff, A., Sauermann, F., & Maibaum, J. (2020) · Advances in Production Management Systems · doi:10.1007/978-3-030-57993-7_21 · Cited by 11
Automotive IVHM: Towards Intelligent Personalised Systems Healthcare
Campean, F., Neagu, D., Doikin, A., Soleimani, M., Byrne, T. J., & Sherratt, A. (2019) · Proceedings of the Design Society · doi:10.1017/dsi.2019.90 · Cited by 11
“Digital twin, a visionary concept introduced with the NASA’s Apollo programs (Rosen et al., 2015),”
InfluentialCooperative Human-Machine Interaction in Industrial Environments
Antão, L., Rui, P.-T., Reis, J., Gonçalves, G., & Pereira, F. L. L. (2018) · 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO) · doi:10.1109/controlo.2018.8514549 · Cited by 11
“Reconfigurability is one of the most important attributes, as it enables the system to respond quickly, being able to decide which action to perform autonomously, without central replanning, programming or human control [18].”
BackgroundTowards Smart Product Lifecycle Management with an Integrated Reconfiguration Management
Abramovici, M., Göbel, J., Savarino, P., & Gebus, P. (2017) · Product Lifecycle Management · doi:10.1007/978-3-319-72905-3_43 · Cited by 11
A digital-twin based worker's work allocation framework for a collaborative assembly system
Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.09.674 · Cited by 11
Digital twinning for purpose-driven information management in production
Slot, M., & Lutters, E. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.05.141 · Cited by 11
Continuous adaption through real data analysis turn simulation models into digital twins
Overbeck, L., Brützel, O., Teufel, M., Stricker, N., Kuhnle, A., & Lanza, G. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.017 · Cited by 11
Avizzano, C., Scivoletto, G., & Tripicchio, P. (2021) · IEEE Access · doi:10.1109/access.2021.3128564 · Cited by 11
“in [7] imagines the predictive maintenance as the series of IoT networks that collect a large amount of data, followed by data fusion algorithms to produce a DT, and finally Artificial”
MethodTao, F., Zhang, M., & Nee, A. (2019) · Digital Twin Driven Smart Manufacturing · doi:10.1016/b978-0-12-817630-6.00009-6 · Cited by 11
Tao, F., Zhang, M., & Nee, A. Y. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817630-6.00010-2 · Cited by 162
Implementation of The Digital Twin Methodology
Janda, P., Hajicek, Z., & Bernardin, P. (2019) · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · doi:10.2507/30th.daaam.proceedings.072 · Cited by 16
“Transformation of digitization into virtualization [4] The implementation of the digital twin methodology is very important for the future of manufacturing [5].”
MethodA survey on dynamic simulation of automation systems and components in the Internet of Things
Jung, T., Jazdi, N., & Weyrich, M. (2017) · 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2017.8247770 · Cited by 11
“Reference [1] mentions four stages of simulation: Individual Application, Simulation Tools, Simulation-based System Design and Digital Twin.”
MethodBhatia, M., & Kumar, V. (2025) · Cluster Computing · doi:10.1007/s10586-025-05813-z · Cited by 12
Fu, S.-C., Antwi-Afari, M., Anwer, S., Chen, Z.-S., & Li, H. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.106524 · Cited by 10
Deng, J., Cheng, Z., Gu, A., & Zhang, S. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324180 · Cited by 11
Towards a Digital Twin Modeling Method for Container Terminal Port
Hakimi, F., Khaled, T., Al-Kharaz, M., Gouabou, A. C. F., & Amzil, K. (2025) · International Conference on Knowledge-Based Intelligent Information & Engineering Systems · doi:10.1016/j.procs.2024.09.361 · Cited by 10
“This approach served both training purposes and the simulation of solutions for critical scenarios [10].”
Egbengwu, V., Garn, W., & Turner, C. J. (2025) · Sustainability · doi:10.3390/su17010280 · Cited by 10
“Digital twins, as highlighted by [11], are rooted in detailed modelling and simulation techniques that offer virtual representations of physical systems, providing unprecedented capability to monitor, analyse, and predict system behaviours.”
Towards a Data‐Driven Digital Twin AI‐Based Architecture for Self‐Driving Vehicles
Babaei, P., Riahinia, N., Omid Mahdi Ebadati, E., & Azimi, A. (2025) · IET Intelligent Transport Systems · doi:10.1049/itr2.70017 · Cited by 12
Aniba, Y., Bouhedda, M., Bachene, M., Rahim, M., Benyezza, H., & Tobbal, A. (2024) · International Journal of Modelling and Simulation · doi:10.1080/02286203.2024.2395899 · Cited by 10
“They function as a strong optimization tool, enabling engineers to analyze designs and control strategies before real-world implementation [12].”
L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration
Hernandez, K. J., Ciardi, T. G., Yamamoto, R., Lu, M.-J., Nihar, A., Jimenez, J., Tripathi, P. K., Giera, B., Forien, J., Lewandowski, J. J., et al. (2024) · Integrating Materials and Manufacturing Innovation · doi:10.1007/s40192-024-00368-0 · Cited by 10
Dangana, M., Hussain, S., Ansari, S., Imran, M., & Zoha, A. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101113 · Cited by 10
Digital twin connection model based on virtual sensor
Wang, C., Liu, X., Zhu, M., Zhu, C., Lv, F., & Ni, Z. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-12438-2 · Cited by 11
“Since the digital twin can reflect the dynamic mapping of physical products and their digital counterparts, it is considered the next wave of modeling, simulation, and optimization techniques [4].”
BackgroundVisualization Monitoring of Industrial Detonator Automatic Assembly Line Based on Digital Twin
Li, H.-J., Yang, Y., Zhang, C., Zhang, C.-J., & Chen, W. (2023) · Sustainability · doi:10.3390/su15097690 · Cited by 10
“The concept of “twins” can be traced back to the Apollo program of NASA (National Aeronautics and Space Administration) in the 1960s [9].”
The Executable Digital Twin: merging the digital and the physics worlds
Hartmann, D., & der Auweraer, H. V. (2022) · arXiv.org · doi:10.48550/arxiv.2210.17402 · Cited by 10
“The field where the Digital Twin has probably gained the most attention in the past years is in the manufacturing domain where the added value of the combined digital-physical representation matches very well the drive towards cyber-physical systems and smart manufacturing systems [10] [15] [16].”
BackgroundWolf, Á., Romeder-Finger, S., Széll, K., & Galambos, P. (2022) · SLAS technology · doi:10.1016/j.slast.2023.01.003 · Cited by 10
“The DT concept is broadly applied for smart manufacturing use cases [10, 11, 12, 13], and there are also numerous examples of robotics applications, where the DT may have different goals.”
BackgroundArchitecture Blueprint Enabling Distributed Digital Twins
Schnicke, F., Espen, D., Antonino, P. O., & Kuhn, T. (2021) · European Conference on the Engineering of Computer-Based Systems · doi:10.1145/3459960.3459978 · Cited by 10
“0 [10].”
Implementation specifics and application potential of digital twins of technological systems
Бровкова, М. Б., Molodtsov, V., & Bushuev, V. V. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-07141-z · Cited by 17
Ebel, H., Riedelsheimer, T., & Stark, R. (2021) · International Journal of Engineering Business Management · doi:10.1177/18479790211033697 · Cited by 14
“They evolved from the representation of physical components in aerospace(53) to enhanced simulation capabilities.(54) The most recent applications are in the manufacturing context with a focus on mechatronic and highly complex products.”
BackgroundFormal Properties of the Digital Twin – Implications for Learning, optimization, and Control
Cronrath, C., Ekstrom, L., & Lennartson, B. (2020) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case48305.2020.9216822 · Cited by 16
“The digital twin is not only said to be adaptive, but also autonomous [1] [8] [15].”
BackgroundMethodInfluentialA knowledge-based surrogate modeling approach for cup drawing with limited data
Morand, L., Helm, D., Iza-Teran, R., & Garcke, J. (2019) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/651/1/012047 · Cited by 10
“Introduction A major vision driving the digital transformation in manufacturing is to transform conventional machines to autonomous systems [1].”
BackgroundTowards Flexible and Automated Testing in Production Systems Engineering Projects
Meixner, K., Biffl, S., & Winkler, D. (2018) · IEEE International Conference on Emerging Technologies and Factory Automation · doi:10.1109/etfa.2018.8502650 · Cited by 10
“, Virtual or Digital Twins [16] in context of virtual commissioning [9].”
BackgroundInfluentialAugmented Reality Supported Modeling of Industrial Systems to Infer Software Configuration
Tomlein, M., & Grønbaek, K. (2018) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3229087 · Cited by 10
“On the other hand, building 3D models of systems (their Digital Twins [29]) can be costly and require significant engineering effort [15].”
BackgroundMethodNovel approach to establish model-based development and virtual commissioning in practice
Ahrens, M., Richter, C., Hehenberger, P., & Reinhart, G. (2018) · Engineering computations · doi:10.1007/s00366-018-0622-6 · Cited by 10
Tomlein, M., & Grønbaek, K. (2017) · IoT · doi:10.1145/3131542.3131552 · Cited by 10
“The related work in Industrial Internet of Things has aimed to make manufacturing systems autonomous by creating a virtual representation of them, called the digital twin [21].”
BackgroundCloud Usage for Manufacturing: Challenges and Opportunities
Kiatipis, A., & Xanthopoulos, A. (2023) · IEEE International Symposium on Multimedia · doi:10.1016/j.procs.2024.01.139 · Cited by 10
Kaivo‐oja, J., Kuusi, O., Knudsen, M., & Lauraéus, T. (2020) · International Journal of Web Engineering and Technology · doi:10.1504/ijwet.2020.109730 · Cited by 10
“DT technology is the spearhead of this latest evolutionary stage of cyber-physical integration and rapidly developing virtual simulation technology (Rosen et al., 2015).”
BackgroundA knowledge-based approach to the IoT-driven data integration of enterprises
Mahmoodpour, M., & Lobov, A. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2019.03.045 · Cited by 10
Tao, F., Zhang, M., & Nee, A. Y. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817630-6.00002-3 · Cited by 21
Zhang, X., Kou, Y., Zhang, X., Shi, Q., Hu, Y., Wu, H., Liu, S. Y., & Zheng, P. (2026) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.12.029 · Cited by 8
Palihakkara, A. D., Osorio-Sandoval, C. A., & Tizani, W. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.049 · Cited by 5
Maculotti, G., Khusnuddinov, F., Kholkhujaev, J., Genta, G., & Galetto, M. (2025) · Flexible Services and Manufacturing Journal · doi:10.1007/s10696-025-09632-7 · Cited by 9
Sobottka, T., Halbwidl, C., Gaal, A., Nausch, M., Fuchs, B., Hold, P., & Czarnetzki, L. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02537-6 · Cited by 8
“The planning and control features a forecasting and optimized planning functionality (Rosen et al., 2015), thus closing a continuous loop: status data (e.g. productions order progress, machine availability) from the production system is feed to the simulation, thus ensuring an updated virtual…”
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance
Chen, S., Sánchez, J. P. G., Bekar, E. T., Bokrantz, J., Skoogh, A., & Lopes, P. V. (2023) · Online World Conference on Soft Computing in Industrial Applications · doi:10.1109/wsc60868.2023.10408657 · Cited by 9
“Modularity is a vital feature that enables customization and scalability, which is already stated in the literature (Rosen et al. 2015), along with seamless integration with external systems, adaptable communication protocols, and compliance with diverse industry standards and regulations.”
BackgroundMethodical Approach to Proactivity Using a Digital Twin of Production Process
Burčiar, F., Važan, P., Juhásová, B., & Juhás, M. (2023) · Electronics · doi:10.3390/electronics12153335 · Cited by 9
Su, S., Hicks, B. J., & Nassehi, A. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02144-x · Cited by 8
“The ’digital twin’ concept originates from NASA’s Apollo program, where at least two identical space vehicles were built to mirror the flight conditions as precisely as possible (Rosen et al., 2015).”
Towards Digital Twinning of Fabrication Lines in Shipyards
Hadžić, N., Lozar, V., Opetuk, T., & Keser, R. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11051053 · Cited by 9
Chi, H.-Y., Sha, J., & Zhang, Y. (2023) · International Cross-Disciplinary Conference on Web Accessibility · doi:10.1145/3587281.3587292 · Cited by 9
“The hype in this trend of digitization fuels an emerging concept of "digital twins" as new thrusts in many industries such as manufacture [36], construction [1, 18], and AI [2].”
BackgroundLyu, D., Liu, J., Luo, S., Liu, S., Cheng, Q., & Liu, H. (2022) · Processes · doi:10.3390/pr10122725 · Cited by 10
A Case Study in Social Manufacturing: From Social Manufacturing to Social Value Chain
Xiong, G., Helo, P., Ekstrom, S., & Tamir, T. S. (2022) · Machines · doi:10.3390/machines10110978 · Cited by 11
Epistemic Challenges of Digital Twins & Virtual Brains: Perspectives from Fundamental Neuroethics
Evers, K., & Salles, A. (2021) · SCIO: Revista de Filosofía · doi:10.46583/scio_2021.21.846 · Cited by 9
“This is key to smart manufacturing, a widely shared approach that consists precisely in the use of DTs to optimise the manufacturing process through the use of autonomous modules that execute high-level tasks without direct human intervention (Rosen, Von Wichert, Lo, & Bettenhausen, 2015).”
MethodContrasting digital twin vision of manufacturing with the industrial reality
Savolainen, J., & Knudsen, M. S. (2021) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2021.1972471 · Cited by 26
“Parallel to this, there is a more abstract idea of the ‘next level of simulation’ using integrated, cooperating sub-models (Bao et al. (2019); Kunath and Winkler (2018)), or model-based systems engineering, MBSE (Rosen et al. 2015).”
BackgroundStudy on the Application of Digital Twin Technology in Complex Electronic Equipment
Hu, C.-M., Gao, W., Xu, C., & Ben, K. (2019) · Lecture Notes in Electrical Engineering · doi:10.1007/978-981-32-9437-0_21 · Cited by 9
Development of a Change Management Instrument for the Implementation of Technologies
Mlekus, L., Paruzel, A., Bentler, D., Jenderny, S., Foullois, M., Bansmann, M., Woeste, L., Röcker, C., & Maier, G. (2018) · Technologies · doi:10.3390/technologies6040120 · Cited by 9
“The manufacturing industry is increasingly being dominated by information and communication technology [1,2].”
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
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
