Dijital ikiz üzerine yapılan araştırmaların dergi yayınlarındaki eğilimlerinin görselleştirilmesi
Yıl 2023,
, 1 - 30, 28.07.2023
Gökhan Alptekin
,
Deniz Türkmen
Öz
Bu araştırma, Scopus veri tabanında taranan sosyal bilimler alanındaki dijital ikiz teknolojisi üzerine yapılan bilimsel çalışmaların bibliyometrik analizini yapmayı amaçlamaktadır. Bu amaç doğrultusunda, 2018-2022 yılları arasında yayınlanmış 254 dergi makalesine ulaşılmıştır. Scopus veri tabanında bulunan 254 bilimsel çalışmanın bibliyometrik verileri VOSviewer 1.6.18 programı kullanılarak analiz edilmiş ve Microsoft Office Excel ile Tableau programları kullanılarak görselleştirilmiştir. Araştırmada elde edilen bulgulardan bazıları şu şekildedir: (1) 254 makale 58 farklı ülkedeki araştırmacılar tarafından üretilmiştir. (2) Dijital ikiz üzerine en fazla yayın üreten ülkeler İngiltere, İtalya ve Çin Halk Cumhuriyeti’dir. (3) Valencia Politeknik Üniversitesi, Londra Üniversitesi Koleji, Milano Politeknik Üniversitesi ve Košice Teknik Üniversitesi dijital ikiz araştırmalarında önde gelen kurumlardır. (4) Sustainability Switzerland dergisi 54 yayın ve 1203 atıf sayısı ile öne çıkmaktadır. (5) Atıf sayısı bakımından Dmitry İvanov ilk sırada yer almaktadır. (6) Araştırmalarda makine öğrenmesi, yapı bilgi modellemesi, akıllı şehir, sanal gerçeklik ve yapay zekâ anahtar kelimelerinin ön plana çıktığı görülmektedir.
Destekleyen Kurum
Bu araştırma herhangi bir kurum veya kuruluş tarafından desteklenmemektedir.
Kaynakça
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- Ante, L. (2021). Digital twin technology for smart manufacturing and industry 4.0: A bibliometric analysis of the intellectual structure of the research discourse. Manufacturing Letters, 27, 96-102. DOI: 10.1016/J.MFGLET.2021.01.003
- Aynacı, İ. (2020). Dijital ikiz ve sağlık uygulamaları. İzmir Kâtip Çelebi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 3(1), 70-82. https://dergipark.org.tr/tr/pub/ikacuiibfd/issue/54124/710591 Erişim tarihi: 15.04.2023
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- Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: A bibliometric review. Supply Chain Management: An International Journal, 27(2). 182-206. DOI: 10.1108/SCM-01-2021-0053
- Burgos, D., & Ivanov, D. (2021). Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics and Transportation Review, 152, 102412. DOI: https://doi.org/10.1016/j.tre.2021.102412
- Cai, Y., Starly, B., Cohen, P., & Lee, Y. S. (2017). Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing. Procedia Manufacturing, 10, 1031–1042. DOI: 10.1016/j.promfg.2017.07.094
- Ciano, M. P., Pozzi, R., Rossi, T., & Strozzi, F. (2021). Digital twin-enabled smart industrial systems: A bibliometric review, International Journal of Computer Integrated Manufacturing, 34(7-8), 690-708. DOI: https://doi.org/10.1080/0951192X.2020.1852600
- Costello, K., & Omale, G. (2019). Gartner survey reveals digital twins are entering mainstream use. https://www.gartner.com/en/newsroom/press-releases/2019-02-20-gartner-survey-reveals-digital-twinsare-entering-mai Erişim tarihi: 15.04.2023
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- David, J., Lobov, A., & Lanz, M. (2018). Leveraging digital twins for assisted learning of flexible manufacturing systems. Proceedings of the 16th International Conference on Industrial Informatics (INDIN), 529-535, Portugal. DOI: 10.1109/INDIN.2018.8472083
- Dembski, F., Wössner, U., Letzgus, M., Ruddat, M., & Yamu, C. (2020). Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability, 12(6), 2307. DOI: https://doi.org/10.3390/su12062307
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070.
- Erturan, İ. ve Ergin, E. (2018). Dijital denetim ve dijital ikiz yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4), 810-830. DOI: 10.31460/mbdd395261
- Fan, C., Zhang, C., Yahja, A., & Mostafavi, A. (2021). Disaster city digital twin: A vision for integrating artificial and human intelligence for disaster management. International Journal of Information Management, 56, 102049. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.102049
- Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital twin: Enabling technology, challenges and open research. IEEE Access, 8, 108952-108971 DOI: 10.1109/ACCESS.2020.2998358
- Gao, C., Wang, J., Dong, S., Liu, Z., Cui, Z., Ma, N., & Zhao, X. (2022). Application of digital twins and building information modeling in the digitization of transportation: A bibliometric review. Applied Sciences, 12(21), 11203. DOI: https://doi.org/10.3390/app122111203
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Visualization of the research trends on digital twin in journal publications
Yıl 2023,
, 1 - 30, 28.07.2023
Gökhan Alptekin
,
Deniz Türkmen
Öz
This research aims to make a bibliometric analysis of scientific studies on digital twin technology in the field of social sciences searched in the Scopus database. For this purpose, 254 journal articles published between 2018-2022 were reached. The bibliometric data of 254 scientific studies in the Scopus database were analysed using VOSviewer 1.6.18 and visualised using Microsoft Office Excel and Tableau programs. Some of the findings obtained in the research are as follows: (1) 254 articles were produced by researchers from 58 different countries. (2) The United Kingdom, Italy and the People's Republic of China are the countries that produce the largest number of programmes on the digital twin. (3) The Polytechnic University of Valencia, University College London, the Polytechnic University of Milan and the Technical University of Košice are leading institutions in digital twin research. (4) Sustainability Switzerland journal stands out with 54 publications and 1203 citations. (5) Dmitry Ivanov ranks first in terms of the number of citations. (6) It is seen that machine learning, building information modelling, smart city, virtual reality and artificial intelligence keywords come to the fore in the researches.
Kaynakça
- Agnusdei, G. P., Elia, V., & Gnoni, M. G. (2021). Is digital twin technology supporting safety management? A bibliometric and systematic review. Applied Sciences, 11(6), 2767. DOI: https://doi.org/10.3390/app11062767
- Ante, L. (2021). Digital twin technology for smart manufacturing and industry 4.0: A bibliometric analysis of the intellectual structure of the research discourse. Manufacturing Letters, 27, 96-102. DOI: 10.1016/J.MFGLET.2021.01.003
- Aynacı, İ. (2020). Dijital ikiz ve sağlık uygulamaları. İzmir Kâtip Çelebi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 3(1), 70-82. https://dergipark.org.tr/tr/pub/ikacuiibfd/issue/54124/710591 Erişim tarihi: 15.04.2023
- Baghalzadeh Shishehgarkhaneh, M., Keivani, A., Moehler, R. C., Jelodari, N., & Roshdi Laleh, S. (2022). Internet of things (ıot), building information modeling (bim), and digital twin (dt) in construction industry: A review, bibliometric, and network analysis. Buildings, 12(10), 1503. DOI: https:// doi.org/10.3390/buildings12101503
- Bevilacqua, M., Bottani, E., Ciarapica, F. E., Costantino, F., Di Donato, L., Ferraro, A., ... & Vignali, G. (2020). Digital twin reference model development to prevent operators’ risk in process plants. Sustainability, 12(3), 1088. DOI: https://doi.org/10.3390/su12031088
- Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: A bibliometric review. Supply Chain Management: An International Journal, 27(2). 182-206. DOI: 10.1108/SCM-01-2021-0053
- Burgos, D., & Ivanov, D. (2021). Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics and Transportation Review, 152, 102412. DOI: https://doi.org/10.1016/j.tre.2021.102412
- Cai, Y., Starly, B., Cohen, P., & Lee, Y. S. (2017). Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing. Procedia Manufacturing, 10, 1031–1042. DOI: 10.1016/j.promfg.2017.07.094
- Ciano, M. P., Pozzi, R., Rossi, T., & Strozzi, F. (2021). Digital twin-enabled smart industrial systems: A bibliometric review, International Journal of Computer Integrated Manufacturing, 34(7-8), 690-708. DOI: https://doi.org/10.1080/0951192X.2020.1852600
- Costello, K., & Omale, G. (2019). Gartner survey reveals digital twins are entering mainstream use. https://www.gartner.com/en/newsroom/press-releases/2019-02-20-gartner-survey-reveals-digital-twinsare-entering-mai Erişim tarihi: 15.04.2023
- Dambrot, S. M., Kerchove, D., Flammini, F., Kinsner, W., MacDonald Glenn, L., & Saracco, R. (2018). IEEE Symbiotic autonomous systems white paper II. https://digitalreality.ieee.org/images/files/pdf/SAS-WP-II-2018-Finalv3.2.pdf Erişim tarihi: 24.04.2023
- David, J., Lobov, A., & Lanz, M. (2018). Leveraging digital twins for assisted learning of flexible manufacturing systems. Proceedings of the 16th International Conference on Industrial Informatics (INDIN), 529-535, Portugal. DOI: 10.1109/INDIN.2018.8472083
- Dembski, F., Wössner, U., Letzgus, M., Ruddat, M., & Yamu, C. (2020). Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability, 12(6), 2307. DOI: https://doi.org/10.3390/su12062307
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070.
- Erturan, İ. ve Ergin, E. (2018). Dijital denetim ve dijital ikiz yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4), 810-830. DOI: 10.31460/mbdd395261
- Fan, C., Zhang, C., Yahja, A., & Mostafavi, A. (2021). Disaster city digital twin: A vision for integrating artificial and human intelligence for disaster management. International Journal of Information Management, 56, 102049. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.102049
- Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital twin: Enabling technology, challenges and open research. IEEE Access, 8, 108952-108971 DOI: 10.1109/ACCESS.2020.2998358
- Gao, C., Wang, J., Dong, S., Liu, Z., Cui, Z., Ma, N., & Zhao, X. (2022). Application of digital twins and building information modeling in the digitization of transportation: A bibliometric review. Applied Sciences, 12(21), 11203. DOI: https://doi.org/10.3390/app122111203
- Grieves, M. (2006). Product lifecycle management: Driving the next generation of lean thinking. New York: McGraw-Hill Education.
- Grieves, M. (2014). Digital twin: Manufacturing excellence through virtual factory replication. White Paper, 1, 1-7. https://www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication/citations Erişim tarihi: 15.04.2023
- Grieves, M., & Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In Kahlen, J., Flumerfelt, S., & Alves, A. (Ed.), Transdisciplinary Perspectives on Complex Systems (pp. 85-113). Springer. DOI: https://doi.org/10.1007/978-3-319-38756-7_4
- Haag, S., & Anderl, R. (2018). Digital twin–proof of concept. Manufacturing Letters, 15, 64-66. DOI: https://doi.org/10.1016/j.mfglet.2018.02.006
- Hakimi, O., Liu, H., & Abudayyeh, O. (2023). Digital twin-enabled smart facility management: A bibliometric review. Frontiers of Engineering Management, 1-18. DOI: https://doi.org/10.1007/s42524-023-0254-4
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