Bibliometric Study on IoT Adoption in Smart Manufacturing: Trends, Challenges, and Opportunities
DOI:
https://doi.org/10.58812/wsshs.v3i01.1640Keywords:
IoT Adoption, Smart Manufacturing, Industry 4.0, Technological Evolution, Bibliometric AnalysisAbstract
This bibliometric study investigates the adoption of the Internet of Things (IoT) in smart manufacturing, examining the trends, challenges, and opportunities that have shaped this evolving field from 2000 to 2022. Utilizing data sourced exclusively from Scopus and analyzed through VOSviewer, the research identifies core themes, tracks their progression over time, and highlights the key contributors and collaborations across countries. The analysis reveals a significant shift from basic IoT applications towards more sophisticated integrations like machine learning, digital twins, and enhanced security protocols. The study also underscores the crucial role of international collaboration in advancing IoT research and addresses the pressing challenges such as interoperability, security concerns, and the workforce skills gap. Furthermore, it suggests future research directions, including the need for standardized IoT frameworks and the exploration of sustainable IoT practices. This study provides a comprehensive overview of the IoT landscape in manufacturing, offering insights into its future trajectory and the potential for transformative industry advancements.
References
Y. Abuadlla and I. Said, “Survey on the Internet of Things Definitions and Applications,” مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, vol. 8, no. 5, pp. 429–440, 2023.
A. Karmakar, N. Dey, T. Baral, M. Chowdhury, and M. Rehan, “Industrial internet of things: A review,” in 2019 international conference on opto-electronics and applied optics (optronix), IEEE, 2019, pp. 1–6.
V. Thakare, G. Khire, and M. Kumbhar, “Artificial intelligence (AI) and internet of things (IoT) in healthcare: Opportunities and challenges,” ECS Trans., vol. 107, no. 1, p. 7941, 2022.
W. Zhang et al., “Blockchain-based federated learning for device failure detection in industrial IoT,” IEEE Internet Things J., vol. 8, no. 7, pp. 5926–5937, 2020.
L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Comput. networks, vol. 54, no. 15, pp. 2787–2805, 2010.
S. Madakam, R. Ramaswamy, and S. Tripathi, “Internet of Things (IoT): A literature review,” J. Comput. Commun., vol. 3, no. 5, pp. 164–173, 2015.
S. Khattar, R. Kaur, T. Verma, and B. Sharma, “Investigating Challenges to Internet of Things (IoT) Applications and Technologies,” in 2023 6th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2023, pp. 1–6.
A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols, and applications,” IEEE Commun. Surv. tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
O. Ellegaard and J. A. Wallin, “The bibliometric analysis of scholarly production: How great is the impact?,” Scientometrics, vol. 105, pp. 1809–1831, 2015.
S. Nižetić, P. Šolić, D. L.-I. Gonzalez-De, and L. Patrono, “Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future,” J. Clean. Prod., vol. 274, p. 122877, 2020.
J. Jin, J. Gubbi, S. Marusic, and M. Palaniswami, “An information framework for creating a smart city through internet of things,” IEEE Internet Things J., vol. 1, no. 2, pp. 112–121, 2014.
Y. Mehmood, F. Ahmad, I. Yaqoob, A. Adnane, M. Imran, and S. Guizani, “Internet-of-things-based smart cities: Recent advances and challenges,” IEEE Commun. Mag., vol. 55, no. 9, pp. 16–24, 2017.
G. Singh, L. Priya, P. Kumar, J. Karthika, T. Saikumar, and M. S. Nidhya, “Analysis of Internet of Things-Integrated Technology in a Smart Factory,” in Machine Vision and Industrial Robotics in Manufacturing, CRC Press, 2025, pp. 368–384.
J. Bzai et al., “Machine learning-enabled internet of things (iot): Data, applications, and industry perspective,” Electronics, vol. 11, no. 17, p. 2676, 2022.
P. Nalajala, K. Gudikandhula, K. Shailaja, A. Tigadi, S. M. Rao, and D. S. Vijayan, “Adopting internet of things for manufacturing firms business model development,” J. High Technol. Manag. Res., vol. 34, no. 2, p. 100456, 2023.
T. Zhang, C. Xue, J. Wang, Z. Yun, N. Lin, and S. Han, “A Survey on Industrial Internet of Things (IIoT) Testbeds for Connectivity Research,” arXiv Prepr. arXiv2404.17485, 2024.
S. Malathy, K. Sangeetha, C. N. Vanitha, and R. K. Dhanaraj, “Integrated architecture for IoTSG: internet of things (IoT) and smart grid (SG),” Smart Grids Internet Things An Energy Perspect., pp. 127–155, 2023.
K. Christidis and M. Devetsikiotis, “Blockchains and smart contracts for the internet of things,” IEEE access, vol. 4, pp. 2292–2303, 2016.
A. Naim and H. Alqahtani, “Role of IoT in Industrial Transformation and Marketing Management,” in Global Applications of the Internet of Things in Digital Marketing, IGI Global, 2023, pp. 67–93.
L. Judijanto, Z. Zulkifli, E. Y. Utami, S. C. Lamatokan, and A. Isma, “Analisis Peran Teknologi Internet of Things (IoT), Literasi Digital, dan Kolaborasi Industri dalam Meningkatkan Kualitas SDM dalam Industri Manufaktur di Indonesia,” J. Multidisiplin West Sci., vol. 3, no. 01, pp. 56–68, 2024.
O. Peter, A. Pradhan, and C. Mbohwa, “Industrial internet of things (IIoT): opportunities, challenges, and requirements in manufacturing businesses in emerging economies,” Procedia Comput. Sci., vol. 217, pp. 856–865, 2023.
D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, “Internet of things: Vision, applications and research challenges,” Ad hoc networks, vol. 10, no. 7, pp. 1497–1516, 2012.
R. Y. Zhong, X. Xu, E. Klotz, and S. T. Newman, “Intelligent manufacturing in the context of industry 4.0: a review,” Engineering, vol. 3, no. 5, pp. 616–630, 2017.
E. Oztemel and S. Gursev, “Literature review of Industry 4.0 and related technologies,” J. Intell. Manuf., vol. 31, no. 1, pp. 127–182, 2020.
A. Fuller, Z. Fan, C. Day, and C. Barlow, “Digital twin: Enabling technologies, challenges and open research,” IEEE access, vol. 8, pp. 108952–108971, 2020.
B. Chen, J. Wan, L. Shu, P. Li, M. Mukherjee, and B. Yin, “Smart factory of industry 4.0: Key technologies, application case, and challenges,” Ieee Access, vol. 6, pp. 6505–6519, 2017.
M. Ben-Daya, E. Hassini, and Z. Bahroun, “Internet of things and supply chain management: a literature review,” Int. J. Prod. Res., vol. 57, no. 15–16, pp. 4719–4742, 2019.
F. Tao, Q. Qi, L. Wang, and A. Y. C. Nee, “Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: Correlation and comparison,” Engineering, vol. 5, no. 4, pp. 653–661, 2019.
A. Gilchrist, Industry 4.0: the industrial internet of things. Springer, 2016.
L. Li, “China’s manufacturing locus in 2025: With a comparison of ‘Made-in-China 2025’ and ‘Industry 4.0,’” Technol. Forecast. Soc. Change, vol. 135, pp. 66–74, 2018.
B. Esmaeilian, J. Sarkis, K. Lewis, and S. Behdad, “Blockchain for the future of sustainable supply chain management in Industry 4.0,” Resour. Conserv. Recycl., vol. 163, p. 105064, 2020.
T. Qiu, J. Chi, X. Zhou, Z. Ning, M. Atiquzzaman, and D. O. Wu, “Edge computing in industrial internet of things: Architecture, advances and challenges,” IEEE Commun. Surv. Tutorials, vol. 22, no. 4, pp. 2462–2488, 2020.
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