Bibliometric Analysis of Smart Manufacturing in Industry 4.0 Research Trends

Authors

  • Tri Siti Fatimah Universitas Negeri Semarang
  • Syanifa Lusardi Universitas Negeri Semarang

DOI:

https://doi.org/10.62951/ijecm.v1i1.1032

Keywords:

Artificial Intelligence, Bibliometric, Industry 4.0, Smart Industry, Smart Manufacturing

Abstract

Smart industry has become an important trend in the development of Industry 4.0, especially in promoting the creation of efficient systems in the manufacturing sector. Various countries and studies are encouraging the application of technologies such as IoT, digital twins, artificial intelligence, and smart factories to improve industrial efficiency and sustainability. Therefore, studies related to smart industry are important and necessary especially on the context of smart manufacturing in order to see the direction of future research trends. This study uses a qualitative approach with literature data from the Scopus database covering the period 2020 to 2025. Research trend analysis was conducted through data processing using Bibliometric analysis in R Studio and the VOSviewer applications. To identify the latest research trends regarding smart industry, particularly in the context of Industry 4.0 and smart manufacturing, this analysis can provide a comprehensive picture of future research developments and directions within a global context.

Downloads

Download data is not yet available.

References

Adithya, M. A., Geetha, R., Sundar, S., Varghese, M. A., & Velmurugan, P. R. (2025). Bibliometric analysis of the evolution of smart factories and sustainable manufacturing in Industry 4.0. Sustainability. https://doi.org/10.1007/s43621-025-02034-7

Bahuguna, S. T., Chandra Bahuguna, P., & Srivastava, R. (2022). Smart manufacturing and sustainability: A bibliometric analysis. Journal of Manufacturing Science and Technology.

Basak, D., & Mandal, S. (2021). A review on smart manufacturing technologies and their applications in Industry 4.0. International Journal of Advanced Manufacturing Technology, 112(7), 1617–1633. https://doi.org/10.1007/s00170-021-06324-9

Bi, Z., Xu, L., & Ouyang, P. (2022). Smart manufacturing — Theories, methods, and applications. Machines, 10(9), 742. https://doi.org/10.3390/machines10090742

Gao, Q., Cheng, C., & Sun, G. (2023). Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises. Technological Forecasting and Social Change, 192, 122567. https://doi.org/10.1016/j.techfore.2023.122567

Gümüş, A. (2022). Bibliometric analysis of the articles on Industry 4.0: Mapping scientific production. ISARDER: Journal of Applied Economics and Social Sciences, 12(2), 50–63. https://doi.org/10.20491/isarder.2022.1382

Hasibuan, A., Nos Sutrisno, & Suhela Putri Nasution. (2024). SMART manufacturing system: Sebuah solusi teknologi manufaktur proses menuju industri 4.0. Journal of Industrial and Manufacture Engineering, 8(1), 117–127. https://doi.org/10.31289/jime.v8i1.11693

Lee, J., Azamfar, M., Singh, J., & Siahpour, S. (2020). Integration of digital twin and deep learning in cyber-physical systems: Towards smart manufacturing. IET Collaborative Intelligent Manufacturing, 2(1), 34–36. https://doi.org/10.1049/iet-cim.2020.0009

Li, G., Liu, Z., Lu, J., Zhou, H., & Sun, L. (2022). Big data-oriented wheel position and geometry calculation for cutting tool groove manufacturing based on AI algorithms. International Journal of Advanced Manufacturing Technology, 119(9–10), 6717–6728. https://doi.org/10.1007/s00170-022-08749-5

Li, X., Wang, B., Peng, T., & Xu, X. (2021). Greentelligence: Smart manufacturing for a greener future. Chinese Journal of Mechanical Engineering (English Edition), 34(1). https://doi.org/10.1186/s10033-021-00656-2

Nugrowibowo, S., & Muslimin, M. (2023). Smart manufacturing: Latest technologies and applications in industrial engineering. Jurnal Minfo Polgan, 12(1), 305–310. https://doi.org/10.33395/jmp.v12i1.12374

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. https://doi.org/10.1007/s10845-018-1433-8

Siska, M., Siregar, I., Saputra, A., Juliana, M., & Afifudin, M. T. (2023). Kecerdasan buatan dan big data dalam industri manufaktur: Sebuah tinjauan sistematis. Nusantara Technology and Engineering Review, 1(1), 41–53. https://doi.org/10.55732/nter.v1i1.1119

Travaglioni, M., Piscitelli, G., & Petrillo, A. (2020). Smart manufacturing systems and applied industrial technologies for a sustainable industry: A systematic literature review. Applied Sciences. Retrieved from https://www.mdpi.com/journal/applsci

Wu, S., & Jiang, H. (2020). Advances in smart manufacturing systems: A review and future directions. International Journal of Production Research, 58(24), 7595–7613. https://doi.org/10.1080/00207543.2020.1765289

Downloads

Published

2025-11-04

How to Cite

Tri Siti Fatimah, & Syanifa Lusardi. (2025). Bibliometric Analysis of Smart Manufacturing in Industry 4.0 Research Trends. International Journal of Economics, Commerce, and Management, 1(1), 62–72. https://doi.org/10.62951/ijecm.v1i1.1032