Metodología y herramientas para apoyar la introducción de la Industria 4.0 en el contexto de la industria automotriz mexicana del sector manufacturero
Resumen
La Industria 4.0 (en adelante I4.0) requiere de un alto nivel de dominio de lo que representa como paradigma, así como de cada una de las tecnologías que la componen con el fin de garantizar su pleno aprovechamiento y así promover una mayor automatización, personalización y flexibilidad en la producción, una fuerza laboral mejor capacitada y nuevos modelos de negocios, entre otras potencialidades. Respecto a los sistemas productivos mexicanos, la industria automotriz constituye un pilar fundamental, aunque la transición hacia I4.0 en las empresas de dicho sector manufacturero aún es insuficiente. Por ello, este trabajo analiza el contexto que justifica la introducción de estas tecnologías en México y se propone una metodología para orientar y facilitar la transición a I4.0. El principal resultado es una metodología que promueve la introducción de I4.0 en la industria automotriz mexicana, detallando sus etapas y herramientas.
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Demircan-Keskin, F. (2020). A two‐stage fuzzy approach for Industry 4.0 project portfolio selection within criteria and project interdependencies context. Journal of Multi‐Criteria Decision Analysis, 27(1-2), 65-83. https://doi.org/10.1002/mcda.1691
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Freund, L., Al-Majeed, S. y Millard, A, (2021b). Case studies key-findings of a strategic complexity management framework for industrial manufacturing systems. En: 2021 16th International Conference of System of Systems Engineering (SoSE), 55-60. https://doi.org/10.1109/SOSE52739.2021.9497489
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I. I. Consortium (2019). The Industrial Internet Reference Arquitecture Version 1.9, Recuperado de https://www.iiconsortium.org/IIRA/
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ind4.0-Internet-Dinge.pdf
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Leyva, A., Pérez, B., Rodríguez, D., Ordaz, M. F. y Nava Aguirre, K. M. (2020). Humanos y máquinas trabajando en conjunto para la implementación del internet de las cosas: un desafío en el sector de autopartes en Nuevo León. UTCJ Theorema Revista Científica, 14, 99-107.
Liao, Y., Deschamps, F., Rocha-Loures, E. D. F. y Pierin-Ramos, L. F. (2017). Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609-3629. https://doi.org/10.1080/00207543.2017.1308576
Liebrecht, C., Kandler, M., Lang, M., Schaumann, S., Stricker, N., Wuest, T. y Lanza, G. (2021). Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0. Journal of Manufacturing Systems, 58, 412-430. https://doi.org/10.1016/j.jmsy.2020.12.008
Lopes, A. M. y Tenreiro-Machado, J. A. (2020). A review of fractional order entropies. Entropy, 22(12), 1374. https://doi.org/10.3390/e22121374
López, H. A., Ponce, P., Molina, A., Ramírez-Montoya, M. S. y López-Caudana, E. (2021). Design framework based on TEC21 educational model and Education 4.0 implemented in a Capstone Project: A case study of an electric vehicle suspension system. Sustainability, 13(11), 5768. https://doi.org/10.3390/su13115768
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005
Majstorovic, V. D. y Mitrovic, R. (2019). Industry 4.0 programs worldwide. En: Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing, AMP 2019. L. Monostori, V. Majstorovic, S. Hu y D. Djurdjanovic (Eds.), Lecture Notes in Mechanical Engineering, 78-99. Belgrade: Springer. https://doi.org/10.1007/978-3-030-18180-2_7
Martínez-Olvera, C. (2020a). An entropy-based formulation for assessing the complexity level of a mass customization industry 4.0 environment. Mathematical Problems in Engineering, 1-19. https://doi.org/10.1155/2020/6376010
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Publicado
2025-07-13
Cómo citar
González Romeo, L. L., Bory Reyes, J., & Rojas Ramírez, J. (2025). Metodología y herramientas para apoyar la introducción de la Industria 4.0 en el contexto de la industria automotriz mexicana del sector manufacturero. RIDE Revista Iberoamericana Para La Investigación Y El Desarrollo Educativo, 16(31). https://doi.org/10.23913/ride.v16i31.2493
Sección
Artículos Científicos
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