Keywords
Bibliometric analisis
scientific surveillance
industrial production management GPI
Sci2
Education Management Análisis bibliométrico
vigilancia científica
gestión de la producción industrial GPI
Sci2
gestión educativa educational management
vigilância científica
gestão da produção industrial GPI
Sci2
Gerenciamento de educação
scientific surveillance
industrial production management GPI
Sci2
Education Management Análisis bibliométrico
vigilancia científica
gestión de la producción industrial GPI
Sci2
gestión educativa educational management
vigilância científica
gestão da produção industrial GPI
Sci2
Gerenciamento de educação
How to Cite
Zetty Arenas, C. ., Jácome Vallejo, M. A., Morales Quiceno, M. E., Erazo Muñoz, P. A., Ramírez Gómez, C. A., Galeano Colonia, A., & Sánchez Ospina, N. E. (2021). Scientific surveillance as a support for educational management.: A bibliometric analysis of the Training in Management of Industrial Production. Rutas De formación: Prácticas Y Experiencias, (10), 60–75. https://doi.org/10.24236/24631388.n.2020.3396
Abstract
The teaching of Industrial Production Management GPI, for its initials in Spanish, brings great challenges both for teachers and for the training centers where it is oriented, due to the advances in this line of knowledge, in addition to the large number of publications generated in this field . Therefore, through an innovative methodology based on bibliometric analysis and using software such as (Bibliometrix de R), VOSviewer, Sci2 and Gephi, a review of the scientific literature in this field is presented. Within the main results we found that 16,709 documents have been published in Scopus and 4,741 in WOS. So far, 2019 has been the year with the highest production on this subject. The most representative countries are the United States and Germany. The institutions with the highest number of publications are the Technical University of Aachen and the Polytechnic of Milano. The most prolific authors are Danil Zakoldaev and Igor Olegovich Zharinov with 46 publications; in Colombia the Universidad Nacional de Colombia and the Universidad de la Costa are the most representative. Four trends in scientific production in GPI were found. They are: Lean manufacturing, Industries 4.0, Digital Transformation and Sustainable Manufacturing. This research provides teachers with an overview of the past, present and future of the Industrial production management. It will allow them to improve their educational practice, in addition to making contributions to curricula, teacher training and updating laboratories where GPI related topics are taught.
References
Amer, H. y Shaw, C. (2014). Lean Leadership Paradoxes: A Systematic Literature Review. En Proceedings of the 2014 (5th) International Conference on Engineering, Project, and Production Management. http://www.ppml.url.tw/EPPM/conferences/2014/download/Lean%20Leadership%20Paradoxes_A%20Systematic%20Literature%20Review.pdf
Buer, S.-V., Strandhagen, J. O. y Chan, F. T. S. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. In International Journal of Production Research, 56(8), 2924-2940. https://doi.org/10.1080/00207543.2018.1442945
Duque, P. y Cervantes-Cervantes, L. (2019). Responsabilidad social universitaria: una revisión sistemática y análisis bibliométrico. Estudios Gerenciales, 35(153), 451-464.
Fisher, O., Watson, N., Porcu, L., Bacon, D., Rigley, M. y Gomes, R. (2018). Cloud manufacturing as a sustainable process manufacturing route. Journal of Manufacturing Systems, 47, 53-68. https://doi.org/10.1016/j.jmsy.2018.03.005
Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910-936. https://doi.org/10.1108/jmtm-02-2018-0057
Ghobakhloo, M. y Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, 100107. https://doi.org/10.1016/j.jii.2019.100107
Ghobakhloo, M. y Fathi, M. (2019). Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology
Management, 31(1), pp. 1-30. https://doi.org/10.1108/jmtm-11-2018-0417
Gonçalves, T., Sousa, P. y Moreira, M. (2019). Does lean practices implementation impact on company performance? A meta-analytical research. Management and Production Engineering Review, 10(4), 11-24.
Hines, P., Holweg, M. y Rich, N. (2004). Learning to evolve: A review of contemporary lean thinking. International Journal of Operations & Production Management, 24(10), 994-1011.
Mena, A. M., Erazo, P.A., Salazar, E. X. y Botero, J. C. (2020). Relaciones entre el liderazgo y el síndrome de burnout. Un análisis bibliométrico. Revista Espacios, 41(38), 162-181. https://www.revistaespacios.com/a20v41n38/a20v41n38p16.pdf
Möldner, A., Garza-Reyes, J. y Kumar, V. (2020). Exploring lean manufacturing practices’ influence on process innovation performance. Journal of Business Research, 106, 233-249). https://doi.org/10.1016/j.jbusres.2018.09.002
Rajput, S. y Singh, S. (2019). Connecting circular economy and industry 4.0. International Journal of Information Management, 49, 98-113. https://doi.org/10.1016/j.ijinfomgt.2019.03.002
Silvério, L., Trabasso, L. G. y Pessôa, M. V. P. (2020). A roadmap for a leanness company to emerge as a true lean organization. Concurrent Engineering, 28(1), 3-19. https://doi.org/10.1177/1063293x19888259
Tortorella, G., Rossini, M., Costa, F., Staudacher, A. y Sawhney, R. (2019). A comparison on Industry 4.0 and Lean Production between manufacturers from emerging and developed economies. En Total Quality Management & Business Excellence (pp. 1–22). https://doi.org/10.1080/14783363.2019.1696184
Van Eck, N. y Waltman, L. (2010). Software Survey: Vosviewer, A Computer Program For Bibliometric Mapping. Scientometrics, 84(2), 523-538.
Wang, L., Törngren, M. y Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37(parte. 2), 517-527. https://doi.org/10.1016/j.jmsy.2015.04.008
Xu, L. D., Da Xu, L., Xu, E. L. y Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941-2962. https://doi.org/10.1080/00207543.2018.1444806
Yadav, G., Luthra, S., Huisingh, D., Mangla, S. K., Narkhede, B. E. y Liu, Y. (2020). Development of a lean manufacturing framework to enhance its adoption within manufacturing companies in developing economies. Journal of Cleaner Production, 245, p. 118726. https://doi.org/10.1016/j.jclepro.2019.118726
Yang, H., Kumara, S., Bukkapatnam, S. T. S. y Tsung, F. (2019). The internet of things for smart manufacturing: A review. IISE Transactions, 51(11), 1190-1216.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Downloads
Download data is not yet available.