A bibliometric analysis of the scientific production of industry 4.0 and its relationship with the footwear industry

Authors

DOI:

https://doi.org/10.33448/rsd-v10i6.13863

Keywords:

Industry 4.0; Footwear industry; Bibliometrics; Systematic analysis.

Abstract

This article sought to show the growth of scientific production and to map the main studies referring to industry 4.0 in the last five years, highlighting its main characteristics and technologies. The work showed the relationship of the theme with one of the most traditional industries responsible for regional development in several countries, the footwear industry. The work also revealed the relationship with industry 4.0, showing that there are still gaps, and possibilities for promising studies involving themes mainly in the area of desing for the footwear industry. The research was carried out on the Web of Science database, which pointed out the main articles published in the period. A systematic review of the literature was carried out to show the ancestry of the studied themes. It is possible to affirm that the theme of industry 4.0 has increasingly shown its relevance with the growth of research. The engagement of the footwear industry with the implementation of industry 4.0 tools may allow advances in the formulation of competitive strategies for the sector.

References

Frank, A., Dalenogare, L., & Ayala, N. (2019). Industry 4.0 technologies: implmeentation patterns in manufacturing companies. International Journal of Production Economics. 210. 15. https://doi.org/ 10.1016/j.ijpe.2019.01.004

Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. https://doi.org/10.1016/j.ijpe.2020.107776

Bär, K., Herbert-Hansen, Z. N. L., & Khalid, W. (2018). Considering Industry 4.0 aspects in the supply chain for an SME. Production Engineering, 12 (6), 747–758. 10.1007/s11740-018-0851-y

Chang, C. W. (2020). Evaluation of smart alarm systems for industry 4.0 technologies. Applied Sciences (Switzerland), 10 (6). 2022. https://doi.org/10.3390/app10062022

Di Roma, A. (2017). Footwear Design. The paradox of “tailored shoe” in the contemporary digital manufacturing systems. The Design Journal, 20 (sup1), S2689–S2699. http://doi.org/10.1080/14606925.2017.1352780.

Garzoni, A., De Turi, I., Secundo, G., & Del Vecchio, P. (2020). Fostering digital transformation of SMEs: a four levels approach. Management Decision. 58. 1543. https://www.emerald.com/insight/content/doi/10.1108/MD-07-2019-0939/full/html

Gil, M., Wróbel, K., Montewka, J., & Goerlandt, F. (2020). A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention. Safety Science, 128, 104717. https://doi.org/10.1016/j.ssci.2020.104717

Ibrahim, A., Kadir, T. A. A., & Kamaludin, A. (2019). Industry 4.0: Eyeing The Future via Simulation. IOP Conference Series: Materials Science and Engineering. 769. 012001. https://iopscience.iop.org/article/10.1088/1757-899X/769/1/012001

Janson, D., Newman, S. T., & Dhokia, V. (2019). Next generation safety footwear. Procedia Manufacturing, 38, 1668–1677. https://doi.org/10.1016/j.promfg.2020.01.117

Kang, H. S. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, 3 (1), 111-128. https://doi.org/10.1007/s40684-016-0015-5

Kipper, L. M., Furstenau, L. B., Hoppe, D., Frozza, R., & Iepsen, S. (2020). Scopus Scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis. International Journal of Production Research, 58 (6), 1605–1627. https://www.tandfonline.com/doi/full/10.1080/00207543.2019.1671625

Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business and Information Systems Engineering, 6 (4), 239–242. http://link.springer.com/10.1007/s12599-014-0334-4

Liu, Y., & Xu, X. (2017). Industry 4.0 and cloud manufacturing: A comparative analysis. Journal of Manufacturing Science and Engineering, 139 (3), 034701. http://doi.org/ 10.1115/1.4034667

Lu, Y. (2017). Industry 4.0: a survey on technologies, applications and open research issues. Journal ofIndustrial Information Integration, 6, 1-10. http://doi.org/ 10.1016/j.jii.2017.04.005

Okarma, K., & Fastowicz, J. (2020). Improved quality assessment of colour surfaces for additive manufacturing based on image entropy. Pattern Anal Applic, 23, 1035–1047. http://doi.org/ 10.1007/s10044-020-00865-w

Pérez, L., Rodríguez-Jiménez, S., Rodríguez, N., Usamentiaga, R., & García, D. F. (2020). Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning. Appied Science. 10(10), 3633; https://doi.org/10.3390/app10103633

Vaidya, S., Ambad, P., & Bhose, S. (2018). Industry 4.0: A glimpse. Procedia manufacturing. 20. 233-238. https://doi.org/10.1016/j.promfg.2018.02.034

Wang, L., & Wang, G. (2016). Big data in cyber-physical systems, digital manufacturing and Industry 4.0. International Journal of Engineering and Manufacturing (IJEM), 6 (4), 18. http://doi.org/ 10.5815/ijem.2016.04.01

Published

08/06/2021

How to Cite

TAVARES, F. R. M. .; CRUZ, F. B. J. da; GOMES, C. V. de A. F.; FIGUEREDO, J. F. de S. . A bibliometric analysis of the scientific production of industry 4.0 and its relationship with the footwear industry. Research, Society and Development, [S. l.], v. 10, n. 6, p. e52710613863, 2021. DOI: 10.33448/rsd-v10i6.13863. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/13863. Acesso em: 14 jun. 2021.

Issue

Section

Engineerings