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Article

Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0

1
Automatic Control and Systems Engineering Department, University of the Basque Country, 48013 Bilbao, Spain
2
Electronic and Automation Engineering Department, University of Jaén, 23071 Jaén, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Yaniv Mordecai
Appl. Sci. 2021, 11(5), 2319; https://doi.org/10.3390/app11052319
Received: 13 January 2021 / Revised: 1 March 2021 / Accepted: 2 March 2021 / Published: 5 March 2021
The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm. View Full-Text
Keywords: flexible automation production systems; model driven engineering; multi agent system; I4.0 components flexible automation production systems; model driven engineering; multi agent system; I4.0 components
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MDPI and ACS Style

Gangoiti, U.; López, A.; Armentia, A.; Estévez, E.; Marcos, M. Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0. Appl. Sci. 2021, 11, 2319. https://doi.org/10.3390/app11052319

AMA Style

Gangoiti U, López A, Armentia A, Estévez E, Marcos M. Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0. Applied Sciences. 2021; 11(5):2319. https://doi.org/10.3390/app11052319

Chicago/Turabian Style

Gangoiti, Unai, Alejandro López, Aintzane Armentia, Elisabet Estévez, and Marga Marcos. 2021. "Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0" Applied Sciences 11, no. 5: 2319. https://doi.org/10.3390/app11052319

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