Integration of Fog Computing in a Distributed Manufacturing Execution System Under the RAMI 4.0 Framework
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Industrial Vision Systems and Defect Detection · IoT and Edge/Fog Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departamento de Automática, Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain
Departamento de Electrónica, Universidad Politécnica Salesiana (UPS), Quito 170146, Ecuador
References (53)
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