Dijital ikiz üzerine yapılan araştırmaların dergi yayınlarındaki eğilimlerinin görselleştirilmesi

Yıl 2023, Cilt: 9 Sayı: 2, 1 - 30, 28.07.2023

Gökhan ALPTEKİN Deniz TÜRKMEN

https://doi.org/10.51948/auad.1309385

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.

Anahtar Kelimeler

Dijital İkiz, Dijital İkiz Teknolojisi, Bibliyometrik Analiz, Eğilimler

Destekleyen Kurum

Bu araştırma herhangi bir kurum veya kuruluş tarafından desteklenmemektedir.

Visualization of the research trends on digital twin in journal publications

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.

Anahtar Kelimeler

Digital Twin, Digital Twin Technology, Bibliometric Analysis, Trends

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
• Hosamo, H. H., Imran, A., Cardenas-Cartagena, J., Svennevig, P. R., Svidt, K., & Nielsen, H. K. (2022). A review of the digital twin technology in the aec-fm industry. Advances in Civil Engineering, 1-17. DOI: https://doi.org/10.1155/2022/2185170
• Houten, H. V. (2018). How a virtual heart could save your real one. https://www.philips.com/a-w/about/news/archive/blogs/innovation-matters/20181112-how-a-virtual-heart-could-save-your-real-one.html Erişim tarihi: 29.04.2023
• Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. DOI: https://doi.org/10.1016/j.tre.2020.101922
• Ji, T., Huang, H., & Xu, X. (2022). Digital Twin Technology-A bibliometric study of top research articles based on Local Citation Score. Journal of Manufacturing Systems, 64, 390-408. DOI: https://doi.org/10.1016/j.jmsy.2022.06.016
• Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative industrie 4.0. Final Report of the Industrie 4.0 Working Group in Acatech National Academy of Science and Engineering, 1-82. https://en.acatech.de/publication/recommendations-for-implementing-the-strategic-initiative-industrie-4-0-final-report-of-the-industrie-4-0-working-group/ Erişim tarihi: 30.04.2023
• Kim, S. Y., Shin, B. S., & Choi, H. (2019). Virtual reality based education with mobile device platform. Mobile Information Systems, 1, 1. DOI: https://doi.org/10.1155/2019/6971319
• Kinsner, W. (2021). Digital Twins for Personalized Education and Lifelong Learning. Canadian Conference on Electrical and Computer Engineering (CCECE-2021), 1-6, Canada. DOI: 10.1109/CCECE53047.2021.9569178
• Kitain, L. (2018). Digital twin - the new age of manufacturing. https://medium.com/datadriveninvestor/digital-twin-the-new-age-of-manufacturing d964eeba3313 Erişim tarihi: 23.03.2023
• Kocabay, İ. V. (2019). Dijital ikizler gömülü gerçek zamanlı üretim yürütme sistemi tasarımı: kitlesel özelleştirme ile üretim yapan bir firmada uygulama. Hacettepe Üniversitesi Fen Bilimleri Enstitüsü Yayınlanmamış Yüksek Lisans Tezi, Ankara.
• Krüger, S., & Borsato, M. (2019). Developing knowledge on digital manufacturing to digital twin: A bibliometric and systemic analysis. Procedia Manufacturing, 38, 1174-1180. DOI: https://doi.org/10.1016/j.promfg.2020.01.207
• Kumar, S., Bongale, A., Patil, S., Bongale, A. M., Kamat, P., & Kotecha, K. (2020). Demystifying artificial intelligence based digital twins in manufacturing: A bibliometric analysis of trends and techniques. Library, Philosophy and Practice, 1-21. https://digitalcommons.unl.edu/libphilprac/4541 Erişim tarihi: 15.04.2023
• Li, X., Shen, Y., Cheng, H., Yuan, F., & Huang, L. (2022). Identifying the development trends and technological competition situations for digital twin: A bibliometric overview and patent landscape analysis. IEEE Transactions on Engineering Management, 1-24. DOI: 10.1109/tem.2022.3166794
• Madni, A. M., Madni, C. C., & Lucero, S. D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7(1), 7. DOI: 10.3390/SYSTEMS7010007
• Mahmoud, A. S., & Hemdan, E. E. (2021). Digital twins concepts, challenges, and future trends. In M. Del Giudice & A. Osello (Ed.), Handbook of Research on Developing Smart Cities Based on Digital Twins (pp. 48-60). IGI Global. DOI: https://doi-org.offcampus.anadolu.edu.tr/10.4018/978-1-7998-7091-3.ch003
• Marr, B. (2017). What is digital twin technology - And why is it so important? https://www.forbes.com/sites/bernardmarr/2017/03/06/what-is-digital-twin-technology-and-why-is-it-so-important/#4d67dd832e2a Erişim tarihi: 28.04.2023
• Min, Q., Lu, Y., Liu, Z., Su, C., & Wang, B. (2019). Machine learning based digital twin framework for production optimization in petrochemical industry. International Journal of Information Management, 49, 502-519. DOI: doi.org/10.1016/j.ijinfomgt.2019.05.020
• Moiceanu, G., & Paraschiv, G. (2022). Digital twin and smart manufacturing in industries: A bibliometric analysis with a focus on industry 4.0. Sensors, 22(4), 1388. DOI: 10.3390/s22041388
• Naderi, H., & Shojaei, A. (2022). Civil ınfrastructure digital twins: multi-level knowledge map, research gaps, and future directions. IEEE Access, 10, 122022-122037. DOI: 10.1109/ACCESS.2022.3223557
• National Aeronautics and Space Administration-NASA (2010). Technology area 12: Materials, structures, mechanical systems and manufacturing road map. https://www.nasa.gov/pdf/501625main_TA12-MSMSM-DRAFT-Nov2010-A.pdf Erişim tarihi: 07.05.2023
• Negri, E., Fumagalli, L., & Macchi, M. (2017). A review of the roles of digital twin in cps-based production systems. Procedia Manufacturing, 11, 939–948. DOI: 10.1016/j.promfg.2017.07.198
• Özen, A. ve Gürel, F. N. (2020). Kamu denetiminde dijital dönüşüm: Dijital ikiz yöntemi. İzmir Sosyal Bilimler Dergisi, 2(1), 16-23. https://dergipark.org.tr/tr/download/article-file/1029335 Erişim tarihi: 23.04.2023
• Puri, D. (2017). Oracle's digital twins implifies design process for complex iot systems. https://www.networkworld.com/article/3235962/oracles-digital-twin-simplifies-design-process-for-complex-iot-systems.html Erişim tarihi: 30.04.2022
• Rosen, R., Von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015). About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine, 28(3), 567–572. DOI: 10.1016/j.ifacol.2015.06.141
• Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP Annals - Manufacturing Technology, 66(1), 141–144. DOI: 10.1016/j.cirp.2017.04.040
• Schrotter, G., & Hürzeler, C. (2020). The digital twin of the city of zurich for urban planning. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 88(1), 99-112. DOI: https://doi.org/10.1007/s41064-020-00092-2
• Sheuly, S. S., Ahmed, M. U., & Begum, S. (2022). Machine-learning-based digital twin in manufacturing: A bibliometric analysis and evolutionary overview. Applied Sciences, 12(13), 6512. DOI: https://doi.org/10.3390/app12136512
• Sun, J., Tian, Z., Fu, Y., Geng, J., & Chunli L. (2020). Digital twins in human understanding: A deep learning-based method to recognize personality traits, International Journal of Computer Integrated Manufacturing, 34(7-8), 1-14. DOI: https://doi.org/10.1080/0951192X.2020.1757155
• Suthar, B., Bongale, A., & Kumar, S. (2021). Three degrees of freedom robotic arm and its digital twin using simulink - A bibliometric analysis. Library Philosophy and Practice, 5873, 1-36. https://digitalcommons.unl.edu/libphilprac/5873/ Erişim tarihi: 20.04.2023
• Şahinaslan, E. (2020). Endüstri 4.0 dönüşümünde öne çıkan teknolojiler. Turgay Seçkin (Ed.). Fen Bilimleri ve Matematik Alanında Akademik Çalışmalar içerisinde, 61-79. Ankara: Gece Kitaplığı.
• Tamer, H. Y. ve Övgün, B. (2020). Yapay zekâ bağlamında dijital dönüşüm ofisi. Ankara Üniversitesi SBF Dergisi, 75(2), 775-803. DOI: 10.33630/ausbf.691119
• Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. International Journal of Advanced Manufacturing Technology, 94 (9–12), 3563–3576. DOI:10.100700170-017-0233-1
• Tekin, M., Öztürk, D. ve Bahar, İ. (2021). Tersine lojistiğin bibliyometrik analizi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(3), 87-100. DOI: 10.52791/aksarayiibd.899935
• Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. DOI: 10.1007/s11192-009-0146-3
• Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Ed.), Measuring Scholarly İmpact (pp. 285-320). Springer. DOI: 10.1007/978-3-319-10377-8_13
• Vrabic, R., Erkoyuncu, J. A., Butala, P., & Roy, R. (2018). Digital twins: Understanding the added value of integrated models for through-life engineering services. Procedia Manufacturing, 16, 139-146. DOI: 10.1016/j.promfg.2018.10.167
• Wang, J., Li, X., Wang, P., & Liu, Q. (2022). Bibliometric analysis of digital twin literature: A review of influencing factors and conceptual structure. Technology Analysis & Strategic Management, 1-15. DOI: 10.1080/09537325.2022.2026320
• Warke, V., Kumar, S., Bongale, A., & Kotecha, K. (2021). Sustainable development of smart manufacturing driven by the digital twin framework: A statistical analysis. Sustainability, 13(18), 10139. DOI: https://doi.org/10.3390/su131810139
• Weyer, S., Meyer, T., Ohmer, M., Goreck, D., & Zühlke, D. (2016). Future modeling and simulation of cps-based factories: An example from the automotive industry. IFAC-PapersOnLine, 49(31), 97–102. DOI: https://doi.org/10.1016/j.ifacol.2016.12.168
• White, G., Zink, A., Codecá, L., & Clarke, S. (2021). A digital twin smart city for citizen feedback. Cities, 110, 103064. DOI: https://doi.org/10.1016/j.cities.2020.103064
• Zhang, J. H., Ni, S. Y., Tan, Y. T., Luo, J., & Wang, S. (2022). A bibliometric analysis of PIN1 and cell death. Frontiers in Cell and Developmental Biology, 2164. DOI: 10.3389/fcell.2022.1043725.
• Zheng, Y., Yang, S., & Cheng, H. (2019). An application framework of digital twin and its case study. Journal of Ambient Intelligence and Humanized Computing, 10, 1141-1153. DOI: 10.1007/S12652-018-0911-3