SUSTAINABLE ARCHITECTURE AND THE ROLE OF CYBER-PHYSICAL SYSTEMS: A BIBLIOMETRIC ANALYSIS
Abstract
Cyber-Physical Systems are next-generation digital systems that focus on the intricate connections and integration between the physical and digital worlds. These systems have highly integrated physical, communication, control, and computing components. The study's purpose is to carry out a bibliometric analysis to explore the research trends, collaboration network, and thematic evaluation of papers on cyber-physical systems. The most prolific countries, authors, sources, highest citations received by authors, and co-occurrences in this research domain were identified. The bibliometric analysis method was employed to empirically analyze the research on CPS in architecture published between 2007 and 2022 in the Web of Science database. All retrieved records were initially filtered by excluding 364 non–non-peer-reviewed publications and another type of languages except English. After that, we excluded 8 records based on the criteria and scope, and again excluded records for duplicates 12 records. Finally, 1336 records met the eligibility criteria. The VOS viewer and biblioshiny software was used to construct the scientific maps. A total of 1336 publications were analyzed. The study results show that the highly cited papers have been published in 297 journals by 4520 authors from 1483 organizations in 83 countries. The most prolific journal was IEEE Access, with 104 publications, 3823 citations, and an h-index of 24. The number of documents progressively increased from 2010 to 2021. Further, 2009 has no publications, and the largest number of articles was published in 2021 (n=272). Furthermore, China led the way with the most publications, active organizations, prolific authors, and international collaborations. This is the first study to look at the global trends in research on CPS in architecture and provides valuable guidelines and motivations for further research. Future studies may also examine the main hazards connected with using cyber-physical systems to manage operations across various industries and sectors.
JEL Classification Codes: Q01, Q56, C63.
References
Agostinelli, S., Cumo, F., Guidi, G., & Tomazzoli, C. (2021). Cyber-physical systems improving building energy management: Digital twin and artificial intelligence. Energies, 14(8), 2338. https://doi.org/10.3390/en14082338
Ahmadi, A., Cherifi, C., Cheutet, V., & Ouzrout, Y. (2017). A review of CPS 5 components architecture for manufacturing based on standards. 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 1–6. https://doi.org/10.1109/SKIMA.2017.8294091
Ane, T., Nepa, T., & Khan, M. R. (2023). Smart and Intelligent Production Strategy for the Flower Market Using Data Mining Knowledge-Based Decision. Bangladesh Journal of Multidisciplinary Scientific Research, 7(1), 35-43. https://doi.org/10.46281/bjmsr.v7i1.2110
Akanmu, A., & Anumba, C. J. (2015). Cyber-physical systems integration of building inf ormation models and the physical construction. Engineering, Construction and Architectural Management, 22(5), 516–535. https://doi.org/10.1108/ECAM-07-2014-0097
Alam, K. M., & El Saddik, A. (2017). C2PS: A digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access, 5, 2050–2062. https://doi.org/10.1109/ACCESS.2017.2657006
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Ane, T., Billah, M., & Nepa, T. (2020). Performance of Internet of Things (IoT) Potential Applications in Education. Bangladesh Journal of Multidisciplinary Scientific Research, 2(2), 10-16. https://doi.org/10.46281/bjmsr.v2i2.653
Ane, T., Nepa, T., & Khan, M. R. (2023). IOT Sensor Technology and Cloud Application on Farming Practice: Plant Live Data Monitor in Agriculture. Bangladesh Journal of Multidisciplinary Scientific Research, 8(1), 1-8. https://doi.org/10.46281/bjmsr.v8i1.2129
Babiceanu, R. F., & Seker, R. (2016). Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. Computers in Industry, 81, 128–137. https://doi.org/10.1016/j.compind.2016.02.004
Bagheri, B., Yang, S., Kao, H. A., & Lee, J. (2015). Cyber-physical systems architecture for self-aware machines in industry 4.0 environment. IFAC-PapersOnLine, 48(3), 1622–1627. https://doi.org/10.1016/j.ifacol.2015.06.318
Bakakeu, J., Schäfer, F., Bauer, J., Michl, M., & Franke, J. (2017). Building cyber‐physical systems–a smart building use case. Smart Cities: Foundations, Principles, and Applications, 605–639. https://doi.org/10.1002/9781119226444.ch21
Banerjee, A., & Nayaka, R. R. (2022). A comprehensive overview on BIM-integrated cyber physical system architectures and practices in the architecture, engineering and construction industry. Construction Innovation, 22(4), 727–748. https://doi.org/10.1108/CI-02-2021-0029
Barroso, S., Bustos, P., & Núñez, P. (2023). Towards a cyber-physical system for sustainable and smart building: a use case for optimising water consumption on a smartcampus. Journal of Ambient Intelligence and Humanized Computing, 14(5), 6379–6399. https://doi.org/10.1007/s12652-021-03656-1
Bonci, A., Carbonari, A., Cucchiarelli, A., Messi, L., Pirani, M., & Vaccarini, M. (2019). A cyber-physical system approach for building efficiency monitoring. Automation in Construction, 102, 68–85. https://doi.org/10.1016/j.autcon.2019.02.010
Cardin, O. (2019). Classification of cyber-physical production systems applications: Proposition of an analysis framework. Computers in Industry, 104, 11–21. https://doi.org/10.1016/j.compind.2018.10.002
Chong, M. S., Sandberg, H., & Teixeira, A. M. H. (2019). A tutorial introduction to security and privacy for cyber-physical systems. 2019 18th European Control Conference (ECC), 968–978. https://doi.org/10.23919/ECC.2019.8795652
Correa, F. R. (2018). Cyber-physical systems for construction industry. 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 392–397. https://doi.org/10.1109/ICPHYS.2018.8387690
Darwish, A., & Hassanien, A. E. (2018). Cyber physical systems design, methodology, and integration: the current status and future outlook. Journal of Ambient Intelligence and Humanized Computing, 9(5), 1541–1556. https://doi.org/10.1007/s12652-017-0575-4
Engqvist, L., & Frommen, J. G. (2008). The h-index and self-citations. Trends in Ecology & Evolution, 23(5), 250–252. https://doi.org/10.1016/j.tree.2008.01.009
Fink, G. A., Edgar, T. W., Rice, T. R., MacDonald, D. G., & Crawford, C. E. (2017). Security and privacy in cyber-physical systems. Cyber-physical systems, 129–141. https://doi.org/10.1016/B978-0-12-803801-7.00009-2
Gerostathopoulos, I., Bures, T., Hnetynka, P., Keznikl, J., Kit, M., Plasil, F., & Plouzeau, N. (2016). Self-adaptation in software-intensive cyber–physical systems: From system goals to architecture configurations. Journal of Systems and Software, 122, 378–397. https://doi.org/10.1016/j.jss.2016.02.028
Giraldo, J., Sarkar, E., Cardenas, A. A., Maniatakos, M., & Kantarcioglu, M. (2017). Security and privacy in cyber-physical systems: A survey of surveys. IEEE Design & Test, 34(4), 7–17. https://doi.org/10.1109/MDAT.2017.2709310
Givehchi, O., Landsdorf, K., Simoens, P., & Colombo, A. W. (2017). Interoperability for industrial cyber-physical systems: An approach for legacy systems. IEEE Transactions on Industrial Informatics, 13(6), 3370–3378. https://doi.org/10.1109/TII.2017.2740434
Horváth, I. (2023). Framing supradisciplinary research for intellectualized cyber-physical systems: An unfinished story. Journal of Computing and Information Science in Engineering, 23(6), 60802. https://doi.org/10.1115/1.4062327
Hossain, S., & Batcha, M. S. (2021). Scientometric analysis of research productivity from Indian dialysis over the last twenty years in Web of Science. COLLNET Journal of Scientometrics and Information Management, 15(2), 323–339. https://doi.org/10.1080/09737766.2021.2005455
Hossain, S., Batcha, M. S., Atoum, I., Ahmad, N., & Al-Shehri, A. (2022). Bibliometric Analysis of the Scientific Research on Sustainability in the Impact of Social Media on Higher Education during the COVID-19 Pandemic. Sustainability, 14(24), 16388. https://doi.org/ 10.3390/su142416388
Jazdi, N. (2014). Cyber physical systems in the context of Industry 4.0. 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, 1–4. https://doi.org/10.1109/AQTR.2014.6857843
Jeong, D., & Koo, Y. (2016). Analysis of Trend and Convergence for Science and Technology using the VOSviewer. International Journal of Contents, 12(3), 54–58. http://dx.doi.org/10.5392/IJoC.2016.12.3.054
Kalluri, B., Chronopoulos, C., & Kozine, I. (2021). The concept of smartness in cyber–physical systems and connection to urban environment. Annual Reviews in Control, 51, 1–22. https://doi.org/10.1016/j.arcontrol.2020.10.009
Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, 3, 111–128. https://doi.org/10.1007/s40684-016-0015-5
Khaitan, S. K., & McCalley, J. D. (2014). Design techniques and applications of cyberphysical systems: A survey. IEEE Systems Journal, 9(2), 350–365. https://doi.org/10.1109/JSYST.2014.2322503
Kleissl, J., & Agarwal, Y. (2010). Cyber-physical energy systems: Focus on smart buildings. Proceedings of the 47th Design Automation Conference, 749–754. https://doi.org/10.1145/1837274.1837464
Kunold, I., Wöhrle, H., Kuller, M., Karaoglan, N., Kohlmorgen, F., & Bauer, J. (2019). Semantic interoperability in cyber-physical systems. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2, 797–801. https://doi.org/10.1109/IDAACS.2019.8924274
Lee, J., Ardakani, H. D., Yang, S., & Bagheri, B. (2015). Industrial big data analytics and cyber-physical systems for future maintenance & service innovation. Procedia Cirp, 38, 3–7. https://doi.org/10.1016/j.procir.2015.08.026
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001
Liu, X., Wider, W., Fauzi, M. A., Jiang, L., Udang, L. N., & Hossain, S. F. A. (2024). The evolution of smart hotels: A bibliometric review of the past, present and future trends. Heliyon, 10(4) e26472. https://doi.org/10.1016/j.heliyon.2024.e26472
Mizutani, I., Ramanathan, G., & Mayer, S. (2021). Integrating multi-disciplinary offline and online engineering in industrial cyber-physical systems through DevOps. Proceedings of the 11th International Conference on the Internet of Things, 40–47. https://doi.org/10.1145/3494322.3494328
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016). Cyber-physical systems in manufacturing. Cirp Annals, 65(2), 621–641. https://doi.org/10.1016/j.cirp.2016.06.005
Panetto, H., Iung, B., Ivanov, D., Weichhart, G., & Wang, X. (2019). Challenges for the cyber-physical manufacturing enterprises of the future. Annual Reviews in Control, 47, 200–213. https://doi.org/10.1016/j.arcontrol.2019.02.002
Radanliev, P., De Roure, D., Van Kleek, M., Santos, O., & Ani, U. (2021). Artificial intelligence in cyber physical systems. AI & Society, 36, 783–796. https://doi.org/10.1007/s00146-020-01049-0
Schmidt, M., Moreno, M. V., Schülke, A., Macek, K., Mařík, K., & Pastor, A. G. (2017). Optimizing legacy building operation: The evolution into data-driven predictive cyber-physical systems. Energy and Buildings, 148, 257–279. https://doi.org/10.1016/j.enbuild.2017.05.002
Shih, C., Chou, J., Reijers, N., & Kuo, T. (2016). Designing CPS/IoT applications for smart buildings and cities. IET Cyber‐Physical Systems: Theory & Applications, 1(1), 3–12. https://doi.org/10.1049/iet-cps.2016.0025
Sony, M. (2020). Design of cyber physical system architecture for industry 4.0 through lean six sigma: Conceptual foundations and research issues. Production & Manufacturing Research, 8(1), 158–181. https://doi.org/10.1080/21693277.2020.1774814
Stamatescu, G., Stamatescu, I., Arghira, N., Calofir, V., & Fagarasan, I. (2016). Building cyber-physical energy systems. ArXiv Preprint ArXiv:1605.06903. https://doi.org/10.48550/arXiv.1605.06903
Van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ArXiv Preprint ArXiv:1109.2058. https://doi.org/10.48550/arXiv.1109.2058
Vogel-Heuser, B., Böhm, M., Brodeck, F., Kugler, K., Maasen, S., Pantförder, D., Zou, M., Buchholz, J., Bauer, H., & Brandl, F. (2020). Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case. Design Science, 6, e5. https://doi.org/10.1017/dsj.2020.2
Wan, J., Zhang, D., Zhao, S., Yang, L. T., & Lloret, J. (2014). Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions. IEEE Communications Magazine, 52(8), 106–113. https://doi.org/10.1109/MCOM.2014.6871677
Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37, 517–527. https://doi.org/10.1016/j.jmsy.2015.04.008
Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158–168. https://doi.org/10.1016/j.comnet.2015.12.017
Xu, J., Liu, Q., Wider, W., Zhang, S., Fauzi, M. A., Jiang, L., Udang, L. N., & An, Z. (2024). Research landscape of energy transition and green finance: A bibliometric analysis. Heliyon, 10(3), e24783. https://doi.org/10.1016/j.heliyon.2024.e24783innov
Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y. (2019). Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, 30, 2805–2817. https://doi.org/10.1007/s10845-017-1384-5
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