Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems

The description of structure and complex interactions in Multi-agent-based Industrial Cyber-physical (MAS-ICPS) systems has been elusively addressed in the literature. Existing works, grounded on model-based engineering, have been successful at characterizing and solving system integration problems....

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Autores principales:	Luis Ribeiro, Luis Gomes
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Industrial cyber-physical systems multiagent systems complex interaction flows modeling Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/23bdaa3b2f1f4ca59c02c32f473c4859
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spelling	oai:doaj.org-article:23bdaa3b2f1f4ca59c02c32f473c48592021-11-20T00:02:41ZDescribing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems2169-353610.1109/ACCESS.2021.3127344https://doaj.org/article/23bdaa3b2f1f4ca59c02c32f473c48592021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611288/https://doaj.org/toc/2169-3536The description of structure and complex interactions in Multi-agent-based Industrial Cyber-physical (MAS-ICPS) systems has been elusively addressed in the literature. Existing works, grounded on model-based engineering, have been successful at characterizing and solving system integration problems. However, they fail to describe accurately the collective and dynamic execution behaviour of large and complex industrial systems, particularly in more discrete production domains, such as: automotive, home appliances, aerospace, food and beverages, etc. In these domains, the execution flow diverts dynamically due to production disturbances, custom orders, fluctuations in demand in mixed model production, faults, quality-control and product rework, etc. These dynamic conditions require re-allocation and reconfiguration of production resources, redirection of production flows, re-scheduling of orders, etc. A meta-model for describing the structure and complex interactions in MAS-ICPS is defined in this paper. This contribution goes beyond the State-Of-The-Art (SOTA) as the proposed meta-model describes structure, as many other literature contributions, but also describes the execution behaviour of arbitrarily complex interactions. The previous is achieved with the introduction of general execution flow control operators in the meta-model. These operators cover, among other aspects, delegation of the execution flow and dynamic decision making. Additionally, the contribution also goes beyond the SOTA by including validation mechanisms for the models generated by the meta-model. Finally, the contribution adds to the current literature by providing a meta-model focusing on production execution and not just on describing the structural connectivity aspects of ICPSs.Luis RibeiroLuis GomesIEEEarticleIndustrial cyber-physical systemsmultiagent systemscomplex interaction flowsmodelingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153126-153141 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial cyber-physical systems multiagent systems complex interaction flows modeling Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Industrial cyber-physical systems multiagent systems complex interaction flows modeling Electrical engineering. Electronics. Nuclear engineering TK1-9971 Luis Ribeiro Luis Gomes Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
description	The description of structure and complex interactions in Multi-agent-based Industrial Cyber-physical (MAS-ICPS) systems has been elusively addressed in the literature. Existing works, grounded on model-based engineering, have been successful at characterizing and solving system integration problems. However, they fail to describe accurately the collective and dynamic execution behaviour of large and complex industrial systems, particularly in more discrete production domains, such as: automotive, home appliances, aerospace, food and beverages, etc. In these domains, the execution flow diverts dynamically due to production disturbances, custom orders, fluctuations in demand in mixed model production, faults, quality-control and product rework, etc. These dynamic conditions require re-allocation and reconfiguration of production resources, redirection of production flows, re-scheduling of orders, etc. A meta-model for describing the structure and complex interactions in MAS-ICPS is defined in this paper. This contribution goes beyond the State-Of-The-Art (SOTA) as the proposed meta-model describes structure, as many other literature contributions, but also describes the execution behaviour of arbitrarily complex interactions. The previous is achieved with the introduction of general execution flow control operators in the meta-model. These operators cover, among other aspects, delegation of the execution flow and dynamic decision making. Additionally, the contribution also goes beyond the SOTA by including validation mechanisms for the models generated by the meta-model. Finally, the contribution adds to the current literature by providing a meta-model focusing on production execution and not just on describing the structural connectivity aspects of ICPSs.
format	article
author	Luis Ribeiro Luis Gomes
author_facet	Luis Ribeiro Luis Gomes
author_sort	Luis Ribeiro
title	Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
title_short	Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
title_full	Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
title_fullStr	Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
title_full_unstemmed	Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems
title_sort	describing structure and complex interactions in multi-agent-based industrial cyber-physical systems
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/23bdaa3b2f1f4ca59c02c32f473c4859
work_keys_str_mv	AT luisribeiro describingstructureandcomplexinteractionsinmultiagentbasedindustrialcyberphysicalsystems AT luisgomes describingstructureandcomplexinteractionsinmultiagentbasedindustrialcyberphysicalsystems
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Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems

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