Integration of Fog Computing in a Distributed Manufacturing Execution System Under the RAMI 4.0 Framework

Oñate, William ORCID: https://orcid.org/0000-0001-6982-2502 and Sanz Bravo, Ricardo ORCID: https://orcid.org/0000-0002-2381-933X (2024). Integration of Fog Computing in a Distributed Manufacturing Execution System Under the RAMI 4.0 Framework. "Applied Sciences", v. 14 (n. 22); p. 10539. ISSN 20763417. https://doi.org/10.3390/app142210539.

Descripción

Título: Integration of Fog Computing in a Distributed Manufacturing Execution System Under the RAMI 4.0 Framework
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Applied Sciences
Fecha: 15 Noviembre 2024
ISSN: 20763417
Volumen: 14
Número: 22
Materias:
ODS:
Palabras Clave Informales: Fog computing; Industry 4.; Industry 4.0; IoT; MES; RAMI 4.0
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Licencias Creative Commons: Reconocimiento

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Resumen

Technological progress has driven the integration of new technologies in the field of industrial automation, but a structured framework is often lacking to efficiently guide the transition from traditional industries. This article presents the implementation of advanced technologies on FESTO's (MPS-500) modular production system, using the reference architectural model for Industry 4.0 (RAMI 4.0) as a guide for scaling. It highlights the importance of the synergy between information technologies (ITs), which enables the development of a multi-level processing system. This system performs concurrent tasks, thus managing execution and manufacturing through an MES based on requests from the cloud. On the other hand, at a lower level, a fog computing system was integrated, which relieves the processing load by distributing processes locally. In addition, matrix mapping was performed to map the integrated technologies within the context of a reference model, allowing a clear alignment between the different levels of the system. The results show a significant reduction in waiting times between batches and operations, which directly improves productivity and offers greater flexibility, that is crucial for SMEs during their growth and scaling process towards Industry 4.0.

Más información

ID de Registro: 88920
Identificador DC: https://oa.upm.es/88920/
Identificador OAI: oai:oa.upm.es:88920
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10277361
Identificador DOI: 10.3390/app142210539
URL Oficial: https://www.mdpi.com/2076-3417/14/22/10539
Depositado por: iMarina Portal Científico
Depositado el: 05 May 2025 09:47
Ultima Modificación: 05 May 2025 10:44