Abstract
Nowadays, small and medium businesses in the manufacturing industry face various challenges towards the deployment of the industry 4.0 revolution. Indeed, these enterprises need to come along with the new industrial development rapidly, considering the deployment of the technology that supports the production and logistics operations. The new technological developments may be implemented easily in large enterprises due to several advantages such as financial availability, proven technological deployment experiences, and highly skilled workers. Nonetheless, these require tackling additional challenges for small and medium enterprises in the manufacturing industry, such as limited financial resources to upgrade their industrial processes. Aiming to contribute to industry 4.0 development, this paper proposes a new methodology that assesses the maturity of small and medium enterprises in the manufacturing industry. This preliminary model, which is constructed considering the low-cost automation concept and the requirements of small and medium enterprises, proposes a three-phase evaluation, including a self-assessment phase, an expert-reinforcement categorization phase, and a roadmap improving phase. Earlier validation of the model is deployed for a bakery enterprise focusing on the functionality and usability of the methodological approach.
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Acknowledgements
This research was supported through the project ID-9389 and proposal ID 9022 of the Pontificia Universidad Javeriana, called “Diseño e implementación de una arquitectura de un sistema ciber-físico de producción centrado en el humano”. This project is also supported by the ministry of science, technology, and innovation of Colombia under the resolution 0456 of May 5, 2020.
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Avila-Echeverria, H., Gómez-Vigoya, JA., Cardenas-Ramos, A., Jimenez, JF. (2022). SI4M: An Approach of Maturity Assessment Model in Industry 4.0 for Small and Medium Enterprises. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_21
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DOI: https://doi.org/10.1007/978-3-030-99108-1_21
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