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Digital Twin in manufacturing: A categorical literature review and classification
Open accessAbstract
The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different over the disparate disciplines. The aim of this paper is to provide a categorical literature review of the DT in manufacturing and to classify existing publication according to their level of integration of the DT. Therefore, it is distinct between Digital Model (DM), Digital Shadow (DS) and Digital Twin. The results are showing, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS.
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“a single process [34,36,44,45]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [36]
In the citing paper
“Dealing with a constant flux of data makes it also possible to apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to IoT systems based on Digital Twin [51][52][53] [54].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [53]
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Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422
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Liu, M., Fang, S., Dong, H., & Xu, C. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.017 · Cited by 2,075
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Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.10.001 · Cited by 1,579
A survey on digital twin: definitions, characteristics, applications, and design implications
Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019) · IEEE Access · doi:10.1109/access.2019.2953499 · Cited by 1,480
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Leveraging Digital Twin Technology in Model-Based Systems Engineering
Madni, A. M., Madni, C. C., & Lucero, S. D. (2019) · Systems · doi:10.3390/systems7010007 · Cited by 1,050
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Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021) · Applied System Innovation · doi:10.3390/asi4020036 · Cited by 1,038
Review of digital twin applications in manufacturing
Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874
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“(Stark et al., 2017) characterizes the DT as (1) an unique instance of the universal Digital Master model of an asset, (2) its individual Digital Shadow and (3) an intelligent linkage (algorithm, simulation model, correlation, etc.) of the two elements above (Kritzinger et al., 2018).”
BackgroundDigital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812
“This effort covers different stages in the production and also different applications cases [27].”
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VanDerHorn, E., & Mahadevan, S. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113524 · Cited by 808
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Opoku, D.-G. J., Perera, S., Osei-Kyei, R., & Rashidi, M. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102726 · Cited by 753
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Digital twins in smart farming
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“Basically, this implies that they must have a feedback loop in which a norm, sensor, discriminator, decision maker, and effector are present (de Leeuw, 1997; Int Veld, 2002).”
BackgroundConstruction with digital twin information systems
Sacks, R., Brilakis, I., Pikas, E., Xie, H. S., & Girolami, M. (2020) · Data-Centric Engineering · doi:10.1017/dce.2020.16 · Cited by 609
“Although there is no commonly agreed conceptualization or definition of the term (Kritzinger et al., 2018; Gerber et al., 2019), numerous organizations have defined digital twins in terms of their functions and characteristics.”
BackgroundDigital Twin for maintenance: A literature review
Errandonea, I., Beltrán, S., & Arrizabalaga, S. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103316 · Cited by 819
Digital Twins: State of the art theory and practice, challenges, and open research questions
Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., & Calinescu, A. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2022.100383 · Cited by 587
“Some works focus on specific domains, such as manufacturing [54], aerospace [60] and production science [39], others are general [20, 73].”
BackgroundInfluentialIntroducing digital twins to agriculture
Pylianidis, C., Osinga, S., & Athanasiadis, I. N. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105942 · Cited by 753
“…will be some confusion in the coming years about what a DT is and when a technology can be considered a DT. Research has been done to classify technologies based on how close they are to becoming DT (Kritzinger et al., 2018), but it is still difficult to identify when a system can be called a DT.”
BackgroundDigital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
Aheleroff, S., Xu, X. W., Zhong, R. Y., & Lu, Y. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101225 · Cited by 680
Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
Khan, L. U., Saad, W., Niyato, D., Han, Z., & Hong, C. (2021) · IEEE Communications Magazine · doi:10.48550/arxiv.2102.12169 · Cited by 515
“Meanwhile, the authors in [6] reviewed digital twins for Industry 4.”
BackgroundDigital twin and its implementations in the civil engineering sector
Jiang, F., Ma, L., Broyd, T., & Chen, K. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103838 · Cited by 531
Deng, M., Menassa, C., & Kamat, V. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.005 · Cited by 448
“…of the Digital Twin originated from the aerospace field (Shafto et al. 2010), and then expanded to industrial manufacturing (Negri et al. 2017, Kritzinger et al. 2018, Zhuang et al. 2018, Tchana et al. 2019, Zhang et al. 2019), has attracted increasing attention in the built environment…”
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Thelen, A., Zhang, X., Fink, O., Lu, Y., Ghosh, S., Youn, B. D., Todd, M. D., Mahadevan, S., Hu, C. K., & Hu, Z. Y. (2022) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-022-03425-4 · Cited by 511
City Digital Twin Potentials: A Review and Research Agenda
Shahat, E., Hyun, C. T., & Yeom, C. (2021) · Sustainability · doi:10.3390/su13063386 · Cited by 378
“However, distinguishing digital twins from other types of models is crucial to realize the applicability of utilizing the completely mirrored digital twin for city-scale modeling; that is, the level of data integration, which varies according to the type of model, between the two counterparts (digital and physical) of…”
BackgroundInfluentialDigital Twin applications toward Industry 4.0: A Review
Javaid, M., Haleem, A., & Suman, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.003 · Cited by 466
Yu, W., Patros, P., Young, B., Klinac, E., & Walmsley, T. (2022) · Renewable & Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112407 · Cited by 361
Sepasgozar, S. M. E. (2021) · Buildings · doi:10.3390/buildings11040151 · Cited by 414
“, BIM) and DT as similar concepts or used them interchangeably [33,66,67].”
MethodWoschank, M., Rauch, E., & Zsifkovits, H. (2020) · Sustainability · doi:10.3390/su12093760 · Cited by 338
“…there are many research activities for realizing CPS and mono-directional information flow from the physical object to the digital model (digital shadow), and in a further step a bidirectional information flow between both models to control the physical system through a so-called digital twin [66].”
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Deep learning in drug discovery: an integrative review and future challenges
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“In an ideal world, the digital component would have all the system’s information that could be acquired from its physical counterpart (Kritzinger et al. 2018).”
BackgroundLiu, X., Jiang, D., Tao, B., Xiang, F., Jiang, G., Sun, Y., Kong, J., & Li, G. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101876 · Cited by 369
From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry
Moleda, M., Małysiak-Mrozek, B., Ding, W.-P., Sunderam, V., & Mrozek, D. (2023) · Italian National Conference on Sensors · doi:10.3390/s23135970 · Cited by 317
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A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3297395 · Cited by 304
Applications of Digital Twin across Industries: A Review
Singh, M., Srivastava, R., Fuenmayor, E. A., Kuts, V., Qiao, Y., Murray, N., & Devine, D. M. (2022) · Applied Sciences · doi:10.3390/app12115727 · Cited by 376
“A DT can help in (i) production planning and control by planning and executing the orders automatically and improving decision support by means of a detailed diagnosis, (ii) maintenance by evaluating and analyzing machine conditions, identifying any changes in the production system and its effects, and taking anticipa…”
Digital Twins in Agriculture: A State-of-the-art review
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An architecture of an intelligent digital twin in a cyber-physical production system
Ashtari Talkhestani, B., Jung, T., Lindemann, B., Sahlab, N., Jazdi, N., Schloegl, W., & Weyrich, M. (2019) · at - Automatisierungstechnik · doi:10.1515/auto-2019-0039 · Cited by 300
“In [9] several definitions ofDigital Twins are compared and evaluated.”
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Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges
Wanasinghe, T. R., Wroblewski, L., Petersen, B. K., Gosine, R. G., James, L. A., Silva, O. D., Mann, G. K. I., & Warrian, P. J. (2020) · IEEE Access · doi:10.1109/access.2020.2998723 · Cited by 411
“of the literature review presented in this article, however, is limited to the O&G industry and follows a similar approach to that presented in [11], [38]–[42].”
ResultDigital Twin: A Comprehensive Survey of Security Threats
Alcaraz, C., & López, J. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3171465 · Cited by 364
“To further clarify such differences and highlight the characteristics of a DT, Kritsinger et al. identify in [2] three variants of mirroring systems, classifying them as: digital model , an isolated system without automatic connection to the real world; digital shadow , a system with an automated…”
BackgroundShahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M. (2022) · Buildings · doi:10.3390/buildings12020120 · Cited by 356
“The interview participants viewed digital twins as a twoway interaction between a virtual model and physical asset, which has been highlighted by several authors [12,30].”
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“Moreover, digital twin technologies may be the driving technologies to improve resource reconfigura-tion [172]–[174].”
BackgroundSmart city based on digital twins
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Perno, M., Hvam, L., & Haug, A. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103558 · Cited by 328
“…limited to construction (Opoku et al., 2021), healthcare (Semeraro et al., 2021), industrial production (Negri et al., 2017; Rasheed et al., 2020; Kritzinger et al., 2018), aviation (Mandolla et al., 2019) and automotive (Alcácer and Cruz-Machado, 2019) industries, meteorology, education and…”
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Redelinghuys, A., Basson, A., & Kruger, K. (2019) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01516-6 · Cited by 247
“Kritzinger et al. (2018) distinguishes between the various digital forms and categorized them as digital model, digital shadow and digital twin.”
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Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachnadran, R., & Ierapetritou, M. (2020) · Processes · doi:10.3390/pr8091088 · Cited by 295
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BackgroundInfluentialDigital Twin in Aerospace Industry: A Gentle Introduction
Li, L., Aslam, S., Wileman, A., & Perinpanayagam, S. (2021) · IEEE Access · doi:10.1109/access.2021.3136458 · Cited by 316
“flow, from physical entity to the virtual side, whilstnot realising the close-loop of data which involvesusing virtual data to affect the physical entity [29].”
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Bazmohammadi, N., Madary, A., Vasquez, J. C., Mohammadi, H. B., Khan, B., Wu, Y., & Guerrero, J. M. (2022) · IEEE Access · doi:10.1109/access.2021.3138990 · Cited by 233
“physical product can be obtained from its DT [24]–[26].”
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Digital twin: Data exploration, architecture, implementation and future
Dihan, M. S., Akash, A. I., Tasneem, Z., Das, P., Das, S. K., Islam, M. R., Islam, M. M., Badal, F. R., Ali, M. F., Ahamed, M. H., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26503 · Cited by 250
“…Extensible Markup Language (XML), Kepware, ZigBee, Message Queuing Telemetry Trans-port (MQTT), MySQL, Application Programming Interface (API), UML/SD, MTComm, Standard Internet Protocol, Industrial Internet of Things (IIoT) Protocol, Wireless Communication, TCP/IP Connection [111,112].”
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A framework for data-driven digital twins of smart manufacturing systems
Friederich, J., Francis, D. P., Lazarova‐Molnar, S., & Mohamed, N. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103586 · Cited by 348
“This enables the digitally extracted simulation model to be a high-fidelity replica of the real entity that it is modeling in real-time (Kritzinger et al., 2018), (Tao et al., 2019).”
BackgroundInfluentialDigital twin in manufacturing: conceptual framework and case studies
Onaji, I., Tiwari, D., Soulatiantork, P., Song, B., & Tiwari, A. (2022) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2022.2027014 · Cited by 298
“…years, more authors are inclined to the notion that the vision refers to a comprehensive virtual representation with connectivity to the physical and functional description of the product/system throughout the lifecycle phases (Yun, Park, and Kim 2017; Cheng et al. 2018; Kritzinger et al. 2018).”
BackgroundInfluentialSchalk, N., Tkadletz, M., & Mitterer, C. (2021) · Surface & Coatings Technology · doi:10.1016/j.surfcoat.2021.127949 · Cited by 197
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case
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“The three concepts implement different levels of integration between the physical and digital entities [17]: a digital model does not implement any form of automated data exchange between the physical and the digital entities (i.e., in Figure 2, the “Data stream” and “Actions” connections are…”
BackgroundDigital twins: An analysis framework and open issues
Boyes, H. A., & Watson, T. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103763 · Cited by 241
“The other two axes are the “ Value Life-cycle ” , a proposed agile iterative/incremental approach to development lifecycle (Aheleroff et al., 2019), and data flow based on a digital twin integration hierarchy (Kritzinger et al., 2018).”
BackgroundVillalonga, A., Negri, E., Biscardo, G., Castaño, F., Haber, R., Fumagalli, L., & Macchi, M. (2021) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2021.04.008 · Cited by 195
Real-time machining data application and service based on IMT digital twin
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Digital Twins: Review and Challenges
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Digital twins in infrastructure: definitions, current practices, challenges and strategies
Broo, D. G., & Schooling, J. (2023) · International Journal of Construction Management · doi:10.1080/15623599.2021.1966980 · Cited by 184
“For instance, Barricelli et al. (2019) argue that a digital twin is more than a simple model and simulation and refers to the works of Grieves (2014), Kritzinger et al. (2018), Negri et al. (2017) and Boschert and Rosen (2016).”
BackgroundDigital twin: a state-of-the-art review of its enabling technologies, applications and challenges
Hu, W., Zhang, T., Deng, X., Liu, Z., & Tan, J. (2021) · Journal of Intelligent Manufacturing and Special Equipment · doi:10.1108/jimse-12-2020-010 · Cited by 228
A digital-twin visualized architecture for Flexible Manufacturing System
Fan, Y., Yang, J.-Z., Chen, J.-H., Hu, P., Wang, X., Xu, J.-C., & Zhou, B. (2021) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2021.05.010 · Cited by 181
Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts
Hunhevicz, J. J., Motie, M., & Hall, D. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103981 · Cited by 180
“Digital twins are understood as one of the key enablers of digital transformation in the manufacturing industry [23,31,33,34].”
BackgroundDigital Twin Models in Industrial Operations: A Systematic Literature Review
Melesse, T. Y., Pasquale, V., & Riemma, S. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.02.084 · Cited by 180
“However, some applied case studies already exist in the literature [17].”
BackgroundMethodA review of building digital twins to improve energy efficiency in the building operational stage
Cespedes-Cubides, A. S., & Jradi, M. (2024) · Energy Informatics · doi:10.1186/s42162-024-00313-7 · Cited by 177
“Utilizing the levels of data integration of Kritzinger et al. (2018) for digital twins in manufacturing, as shown in Fig.”
MethodArowoiya, V. A., Moehler, R., & Fang, Y. (2023) · Energy and Built Environment · doi:10.1016/j.enbenv.2023.05.004 · Cited by 219
Implementing Industry 4.0 principles
Cañas, H., Mula, J., Díaz-Madroñero, M., & Campuzano-Bolarín, F. (2021) · Computers & industrial engineering · doi:10.1016/j.cie.2021.107379 · Cited by 173
Digital Twin Research in the AECO-FM Industry
Ozturk, G. B. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102730 · Cited by 172
Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration
Peng, Y., Zhang, M., Yu, F.-Q., Xu, J., & Gao, S. (2020) · Advances in Civil Engineering · doi:10.1155/2020/8846667 · Cited by 172
“A survey shows more than half of declared DT research papers about manufacture only reached the digital shadow level of integration [13].”
BackgroundAsatiani, A., Malo, P., Nagbøl, P. R., Penttinen, E., Rinta-Kahila, T., & Salovaara, A. (2021) · Journal of the Association for Information Systems · doi:10.17705/1jais.00664 · Cited by 223
“approach that simplifies envelopment is to strive for “gray-box models,” as exemplified by the creation of “digital twins” that can simulate real, physical processes (see El Saddik, 2018; Kritzinger et al., 2018).”
BackgroundTowards electric digital twin grid: Technology and framework review
Sifat, M. M. H., Choudhury, S. M., Das, S. K., Ahamed, M. H., Muyeen, S. M., Hasan, M. M., Ali, M. F., Tasneem, Z., Islam, M. M., Islam, M. R., et al. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100213 · Cited by 189
“Due to the real-time interconnectivity, each decision made by the twin grid flows into the physical layer with the help of incident response strategies [91].”
BackgroundMicrosimulation of electric vehicle energy consumption and driving range
Xie, Y., Li, Y.-Y., Zhao, Z., Dong, H., Wang, S.-Q., Liu, J.-P., Guan, J.-H., & Duan, X.-B. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115081 · Cited by 171
Qian, C., Liu, X., Ripley, C., Qian, M., Liang, F., & Yu, W. (2022) · Future Internet · doi:10.3390/fi14020064 · Cited by 235
Digital Twins in greenhouse horticulture: A review
Ariesen-Verschuur, N., Verdouw, C. N., & Teki̇nerdoğan, B. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107183 · Cited by 187
Intelligent manufacturing execution systems: A systematic review
Shojaeinasab, A., Charter, T., Jalayer, M., Khadivi, M., Ogunfowora, O., Raiyani, N., Yaghoubi, M., & Najjaran, H. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.01.004 · Cited by 213
A review on the characteristics of cyber-physical systems for the future smart factories
Napoleone, A., Macchi, M., & Pozzetti, A. (2020) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2020.01.007 · Cited by 167
“[85] Kritzinger W, Karner M, Traar G, Henjes J, Sihn W, Kritzinger W, et al.”
BackgroundDevelopment of a Digital Twin for smart farming: Irrigation management system for water saving
Alves, R. G., Maia, R., & Lima, F. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.135920 · Cited by 165
Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories
Evjemo, L., Gjerstad, T., Grøtli, E., & Sziebig, G. (2020) · Current Robotics Reports · doi:10.1007/s43154-020-00006-5 · Cited by 164
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
Yao, X., Ma, N., Zhang, J., Wang, K., Yang, E., & Faccio, M. (2022) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-022-02027-7 · Cited by 211
Coupry, C., Noblecourt, S., Richard, P., Baudry, D., & Bigaud, D. (2021) · Applied Sciences · doi:10.3390/app11156810 · Cited by 160
“Digital Model (left), igital Shado ( i dl ), i it l in (right) [21].”
BackgroundMethodInfluentialA New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
Bécue, A., Maia, E., Feeken, L., Borchers, P., & Praça, I. (2020) · Applied Sciences · doi:10.3390/app10134482 · Cited by 204
“As the authors of [37,52,69] provided more extensive surveys on recent developments in the area of digital twins for manufacturing, we proceed with highlighting key enabling technologies for modeling digital twins, as presented recently by Rasheed et al.”
MethodDigital twin enhanced BIM to shape full life cycle digital transformation for bridge engineering
Song, H., Yang, G., Li, H., Zhang, T., & Annan, J. (2023) · Automation in Construction · doi:10.1016/j.autcon.2022.104736 · Cited by 177
Digital twin design for real-time monitoring – a case study of die cutting machine
Wang, K., Lee, Y.-H., & Angelica, S. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1817999 · Cited by 182
“According to Kritzinger et al. (2018), DT has experienced three evolutions in its development (Figure 1): the digital model does not have an automated data exchange between physical and digital objects; the digital shadow has an automated unidirectional data flow between physical and digital…”
MethodTowards 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
“Providing a less complex definition, Lee and Seshia (2011) described CPS as a tight integration of computational resources with physical processes.”
BackgroundMethodDigital 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
“Consequently, Kritzinger et al. (2018) proposed a classification of the digital-twin concept based on how the data exchange between the virtual replica and its physical counterpart is realized.”
BackgroundMethodInfluentialConceptualisation of a 7-element digital twin framework in supply chain and operations management
Ivanov, D. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2217291 · Cited by 157
“Kritzinger et al. (2018), Negri, Fumagalli, and Macchi (2017), Melesse, Di Pasquale, and Riemma (2020), Psarommatis and May (2022) and Singh et al. (2020) focus on manufacturing-oriented digital twins.”
BackgroundDigital Twin in Industry 4.0: Technologies, Applications and Challenges
Pires, F., Cachada, A., Barbosa, J., Moreira, A., & Leitão, P. (2019) · International Conference on Industrial Informatics · doi:10.1109/indin41052.2019.8972134 · Cited by 157
“According to the literature review performed by [15] one of the most common technologies found in the literature for model construction is discrete event modelling.”
BackgroundMethodInfluentialMES-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
The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks
Popa, E., van Hilten, M., Oosterkamp, E., & Bogaardt, M. (2021) · Life Sciences, Society and Policy · doi:10.1186/s40504-021-00113-x · Cited by 152
Adoption paths of digital transformation in manufacturing SME
Battistoni, E., Gitto, S., Murgia, G., & Campisi, D. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108675 · Cited by 166
Field-synchronized Digital Twin framework for production scheduling with uncertainty
Negri, E., Pandhare, V., Cattaneo, L., Singh, J., Macchi, M., & Lee, J. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-020-01685-9 · Cited by 150
Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics
Moshood, T. D., Nawanir, G., Sorooshian, S., & Okfalisa, O. (2021) · Applied System Innovation · doi:10.3390/asi4020029 · Cited by 211
“The following list of problems that are likely to be faced while attempting to introduce a Digital Twins has been established based on the concerns posed by [17,96,97].”
BackgroundImpactful Digital Twin in the Healthcare Revolution
Hassani, H., Huang, X., & MacFeely, S. (2022) · Big Data and Cognitive Computing · doi:10.3390/bdcc6030083 · Cited by 206
“There are bi-directional data connections between the physical product and its virtual twin; however, the data is exchanged manually [27,28], meaning the virtual twin represents a certain status of the physical product with the manually controlled process of synthesis.”
BackgroundA knowledge-based Digital Shadow for machining industry in a Digital Twin perspective
Ladj, A., Wang, Z., Meski, O., Belkadi, F., Ritou, M., & Cunha, C. M. D. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.07.018 · Cited by 173
“Furthermore, the data flows are fully integrated for both directions, one may refer to Digital Twin where the digital objects generate feedback for the control of the physical object (Kritzinger et al. 2018).”
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
“Kritzinger et al. (2018) explained more on PLM, which referred to an industry presentation describing DT as a digital informational construct of a physical system created as an entity on its own but linked to the physical system.”
Background
Metadata
- Authors
- Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W.
- Affiliations
- Fraunhofer Austria (AT)
- Corresponding author
- Kritzinger, Werner
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 51
- Issue
- 11
- Pages
- 1016-1022
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2890904471
- Cited by
- 3,612
- References
- 49
- Citations by year
- 2026: 761 · 2025: 639 · 2024: 576 · 2023: 577 · 2022: 437 · 2021: 356 · 2020: 194 · 2019: 71 · 2018: 1
- FWCI
- 128.89
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- IFAC-PapersOnLine (publishedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Funders
- European Commission
- Horizon 2020 Framework Programme
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, manufacturing industry, digital models, digital shadow, digital transformation, terminology, levels of integration
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