journal article·2024-07-24Open access

Main Trend Topics on Industry 4.0 in the Manufacturing Sector: A Bibliometric Review

Dayron Reyes Domínguez, Marta Beatriz Infante Abreu, Aurica Luminita Parv

Applied Sciences· Volume 14· Issue 15

Abstract

The main objective of this research is to identify current trends in Industry 4.0 within the manufacturing sector through bibliometrics. A dataset of 1069 documents from 2020 to 2024 obtained from the Web of Science is processed. Using the R-Bibliometrix package, research trends, leading authors, and institutional contributions are identified. The accelerated growth rate of 30.77% in publications confirms research interest. Thematic exploration reveals the convergence of Industry 4.0 with sustainability, AI, the Internet of Things, smart manufacturing, and digitalization as dominant themes. The transition towards smarter and more efficient systems is evident, with an emphasis on integrating sustainability into Industry 4.0 practices. Challenges persist in management adjustment, technological integration, and strategy for digital transformation. The study identifies sustainability and machine learning as critical enabling factors for Industry 4.0, while security and collaboration have emerged as key focus areas in recent years. A wide geographic distribution of research contributions with substantial international cooperation is observed, highlighting India, Italy, and China. Major journals like Sustainability and Journal of Manufacturing Systems emerge as influential platforms for disseminating research on the topic. The analysis of citation networks, co-occurrence, and thematic evolution underscores the multidimensional impact of Industry 4.0 technologies on manufacturing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Digital Transformation in Industry · Economic and Technological Innovation · Big Data and Business Intelligence

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Manufacturing Engineering, Transilvania University of Brasov, 500036 Brasov, Romania

Department of Business Informatics, Cujae, Technological University of Havana José Antonio Echeverría, Havana 11500, Cuba

References (63)

Show source-provided references
1. The importance of manufacturing in economic development: Has this changed?10.1016/j.worlddev.2016.12.013 ↗
2. Scanning the industry 4.0: A literature review on technologies for manufacturing systems
3. Literature review of Industry 4.0 and related technologies10.1007/s10845-018-1433-8 ↗
4. Industry 4.0: State of the art and future trends10.1080/00207543.2018.1444806 ↗
5. Jamwal, A., Agrawal, R., Sharma, M., and Giallanza, A. (2021). Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions. Appl. Sci., 11.10.3390/app11125725 ↗
6. Perspectives on the future of manufacturing within the Industry 4.0 era10.1080/09537287.2020.1810762 ↗
7. The applications of Industry 4.0 technologies in manufacturing context: A systematic literature review10.1080/00207543.2020.1824085 ↗
8. Kalsoom, T., Ramzan, N., Ahmed, S., and Ur-Rehman, M. (2020). Advances in sensor technologies in the era of smart factory and industry 4.0. Sensors, 20.10.3390/s20236783 ↗
9. Smart Factory Implementation and Process Innovation: A Preliminary Maturity Model for Leveraging Digitalization in Manufacturing Moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies10.1080/08956308.2018.1471277 ↗
10. Strengthening advanced manufacturing innovation ecosystems: The case of Massachusetts10.1016/j.techfore.2017.06.003 ↗
11. Mabkhot, M.M., Al-Ahmari, A.M., Salah, B., and Alkhalefah, H. (2018). Requirements of the smart factory system: A survey and perspective. Machines, 6.10.3390/machines6020023 ↗
12. Success factors of the adoption of smart factory transformation: An examination of Korean manufacturing SMEs10.1109/ACCESS.2022.3233811 ↗
13. Trend of Smart Factory and Model Factory Cases10.20462/TeBS.2016.08.17.4.211 ↗
14. Kumar, S., Suhaib, M., and Asjad, M. (2020). Industry 4.0: Complex, disruptive, but inevitable. Manag. Prod. Eng. Rev.10.24425/mper.2020.132942 ↗
15. Industry 4.0 implementation challenges and opportunities: A managerial perspective10.1109/JSYST.2020.3023041 ↗
16. Müller, J.M., Kiel, D., and Voigt, K.-I. (2018). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10.10.3390/su10010247 ↗
17. Zhou, K., Liu, T., and Zhou, L. (2015, January 15–17). Industry 4.0: Towards future industrial opportunities and challenges. Proceedings of the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, China.10.1109/FSKD.2015.7382284 ↗
18. An interpretive structural analysis for industry 4.0 adoption challenges
19. Das, R., Muduli, K., and Islam, S.M.N. (2022, January 26–28). Industry 4.0 Adoption in Manufacturing Industries in SME sector: Opportunities and Challenges. Proceedings of the International Conference on Industrial Engineering and Operations Management, Rome, Italy.
20. Bellandi, M., Propris, L.D., and Santini, E. Industry 4.0+ challenges to local productive systems and place based integrated industrial policies. Proceedings of the Transforming Industrial Policy for the Digital Age, Available online: https://www.researchgate.net/publication/335326414_Industry_40_challenges_and_local_productive_systems_and_place_based_integrated_industrial_policies.
21. Rauch, E., and Matt, D.T. (2021). Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing. Implementing Industry 4.0 in SMEs, Springer.10.1007/978-3-030-70516-9_1 ↗
22. Poór, P., and Basl, J. (2018). Overview of current issues in Industry 4.0 implementation. Zarządzanie Przedsiębiorstwem, 21.
23. 50+ years of R&D Management: A retrospective synthesis and new research trajectories10.1111/radm.12592 ↗
24. A scientometric methodology based on co-word analysis in gas turbine maintenance
25. Thomoglou, A.K., Jagadesh, P., and Voutetaki, M.E. (2023). Review of Out-of-Plane Strengthening Techniques of Unreinforced Masonry Walls. Fibers, 11.10.3390/fib11090078 ↗
26. Muritala, B.A., Sánchez-Rebull, M.-V., and Hernández-Lara, A.-B. (2020). A bibliometric analysis of online reviews research in tourism and hospitality. Sustainability, 12.10.3390/su12239977 ↗
27. How to conduct a bibliometric analysis: An overview and guidelines10.1016/j.jbusres.2021.04.070 ↗
28. Bibliometric methods in management and organization10.1177/1094428114562629 ↗
29. A descriptive and historical review of bibliometrics with applications to medical sciences10.1002/phar.1586 ↗
30. Understanding bibliometric parameters and analysis10.1148/rg.2015140036 ↗
31. A review of the characteristics of 108 author-level bibliometric indicators10.1007/s11192-014-1423-3 ↗
32. Moral-Muñoz, J.A., Herrera-Viedma, E., Santisteban-Espejo, A., and Cobo, M.J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Prof. Inf. Prof., 29.10.3145/epi.2020.ene.03 ↗
33. Escenarios prospectivos: Una revisión de la literatura usando el paquete de R Bibliometrix
34. Bo-lin, H. (2007). Classification and Process in Bibliometric and Analytic Research. Inf. Sci.
35. Formoso, G. (2022). The H-index is an unfair measure of scientific achievements. A proposal to address its shortcomings. Camb. Open Engag., preprint.10.31222/osf.io/5kcef ↗
36. The H index myth: A form of fanaticism or a simple misconception?10.3390/tomography8030102 ↗
37. An index-based ranking of conferences in a distinctive manner10.1108/EL-03-2018-0064 ↗
38. Ali, M.J. (2021). Understanding the ‘g-index’and the ‘e-index’. Seminars in Ophthalmology, Taylor & Francis.10.1080/08820538.2021.1922975 ↗
39. PageRank beyond the web10.1137/140976649 ↗
40. PageRank as a method to rank biomedical literature by importance10.1186/s13029-015-0046-2 ↗
41. Industry 4.0, digitization, and opportunities for sustainability10.1016/j.jclepro.2019.119869 ↗
42. Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues10.1016/j.rcim.2019.101837 ↗
43. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
44. Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture10.1016/j.compind.2020.103187 ↗
45. Predictive maintenance in the Industry 4.0: A systematic literature review10.1016/j.cie.2020.106889 ↗
46. A review on machine learning in 3D printing: Applications, potential, and challenges10.1007/s10462-020-09876-9 ↗
47. How the combination of Circular Economy and Industry 4.0 can contribute towards achieving the Sustainable Development Goals10.1016/j.spc.2020.10.005 ↗
48. Blockchain for industry 4.0: A comprehensive review10.1109/ACCESS.2020.2988579 ↗
49. Reconfigurable supply chain: The X-network10.1080/00207543.2020.1774679 ↗
50. Researchers’ perspectives on Industry 4.0: Multi-disciplinary analysis and opportunities for operations management10.1080/00207543.2020.1798035 ↗
51. Blockchain technology: Is it hype or real in the construction industry?
52. Digital servitization in manufacturing: A systematic literature review and research agenda10.1016/j.indmarman.2020.02.012 ↗
53. The smart factory as a key construct of industry 4.0: A systematic literature review10.1016/j.ijpe.2019.08.011 ↗
54. Digital twins-based smart manufacturing system design in Industry 4.0: A review10.1016/j.jmsy.2021.05.011 ↗
55. Industry 4.0 and the circular economy: A literature review and recommendations for future research10.1002/bse.2731 ↗
56. Sima, V., Gheorghe, I.G., Subić, J., and Nancu, D. (2020). Influences of the industry 4.0 revolution on the human capital development and consumer behavior: A systematic review. Sustainability, 12.10.3390/su12104035 ↗
57. Smart manufacturing process and system automation–a critical review of the standards and envisioned scenarios10.1016/j.jmsy.2020.06.010 ↗
58. Digital twin paradigm: A systematic literature review10.1016/j.compind.2021.103469 ↗
59. A review of research relevant to the emerging industry trends: Industry 4.0, IoT, blockchain, and business analytics10.1142/S2424862219500192 ↗
60. Relationships between industry 4.0, sustainable manufacturing and circular economy: Proposal of a research framework10.1108/IJOA-04-2020-2120 ↗
61. Çınar, Z.M., Abdussalam Nuhu, A., Zeeshan, Q., Korhan, O., Asmael, M., and Safaei, B. (2020). Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0. Sustainability, 12.10.3390/su12198211 ↗
62. Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes–A literature review10.1016/j.jclepro.2020.120856 ↗
63. Key ingredients for evaluating Industry 4.0 readiness for organizations: A literature review10.1108/BIJ-09-2018-0284 ↗