A bibliometric analysis of the scientific production of industry 4.0 and its relationship with the footwear industry
Keywords:Industry 4.0; Footwear industry; Bibliometrics; Systematic analysis.
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.
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
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Copyright (c) 2021 Frederico Romel Maia Tavares; Francisco Bruno Juvino da Cruz; Caio Vinicius de Araujo Ferreira Gomes; José Francisco de Sousa Figueredo
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