Agent-based distributed manufacturing scheduling: an ontological approach

The purpose of this paper is the need for self-sequencing operation plans in autonomous agents. These allow resolution of combinatorial optimisation of a global schedule, which consists of the fixed process plan jobs and which requires operations offered by manufacturers. The proposed agent-based ap...

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Autores principales:	Salman Saeidlou, Mozafar Saadat, Ebrahim Amini Sharifi, Guiovanni D. Jules
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	multi-agent systems knowledge –based systems ontology distributed systems metaheuristics Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/eb1906677ce140c68fdca756ccc5350a
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id	oai:doaj.org-article:eb1906677ce140c68fdca756ccc5350a
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spelling	oai:doaj.org-article:eb1906677ce140c68fdca756ccc5350a2021-11-04T15:51:55ZAgent-based distributed manufacturing scheduling: an ontological approach2331-191610.1080/23311916.2019.1565630https://doaj.org/article/eb1906677ce140c68fdca756ccc5350a2019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1565630https://doaj.org/toc/2331-1916The purpose of this paper is the need for self-sequencing operation plans in autonomous agents. These allow resolution of combinatorial optimisation of a global schedule, which consists of the fixed process plan jobs and which requires operations offered by manufacturers. The proposed agent-based approach was adapted from the bio-inspired metaheuristic- particle swarm optimisation (PSO), where agents move towards the schedule with the best global makespan. The research has achieved a novel ontology-based optimisation algorithm to allow agents to schedule operations whilst cutting down on the duration of the computational analysis, as well as improving the performance extensibility amongst others. The novelty of the research is evidenced in the development of a synchronised data sharing system allowing better decision-making resources with intrinsic manufacturing intelligence. The multi-agent platform is built upon the Java Agent Development Environment (JADE) framework. The operation research case studies were used as benchmarks for the evaluation of the proposed model. The presented approach not only showed a practical use case of a decentralised manufacturing system, but also demonstrated near optimal makespans compared to the operational research benchmarks.Salman SaeidlouMozafar SaadatEbrahim Amini SharifiGuiovanni D. JulesTaylor & Francis Grouparticlemulti-agent systemsknowledge –based systemsontologydistributed systemsmetaheuristicsEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-agent systems knowledge –based systems ontology distributed systems metaheuristics Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	multi-agent systems knowledge –based systems ontology distributed systems metaheuristics Engineering (General). Civil engineering (General) TA1-2040 Salman Saeidlou Mozafar Saadat Ebrahim Amini Sharifi Guiovanni D. Jules Agent-based distributed manufacturing scheduling: an ontological approach
description	The purpose of this paper is the need for self-sequencing operation plans in autonomous agents. These allow resolution of combinatorial optimisation of a global schedule, which consists of the fixed process plan jobs and which requires operations offered by manufacturers. The proposed agent-based approach was adapted from the bio-inspired metaheuristic- particle swarm optimisation (PSO), where agents move towards the schedule with the best global makespan. The research has achieved a novel ontology-based optimisation algorithm to allow agents to schedule operations whilst cutting down on the duration of the computational analysis, as well as improving the performance extensibility amongst others. The novelty of the research is evidenced in the development of a synchronised data sharing system allowing better decision-making resources with intrinsic manufacturing intelligence. The multi-agent platform is built upon the Java Agent Development Environment (JADE) framework. The operation research case studies were used as benchmarks for the evaluation of the proposed model. The presented approach not only showed a practical use case of a decentralised manufacturing system, but also demonstrated near optimal makespans compared to the operational research benchmarks.
format	article
author	Salman Saeidlou Mozafar Saadat Ebrahim Amini Sharifi Guiovanni D. Jules
author_facet	Salman Saeidlou Mozafar Saadat Ebrahim Amini Sharifi Guiovanni D. Jules
author_sort	Salman Saeidlou
title	Agent-based distributed manufacturing scheduling: an ontological approach
title_short	Agent-based distributed manufacturing scheduling: an ontological approach
title_full	Agent-based distributed manufacturing scheduling: an ontological approach
title_fullStr	Agent-based distributed manufacturing scheduling: an ontological approach
title_full_unstemmed	Agent-based distributed manufacturing scheduling: an ontological approach
title_sort	agent-based distributed manufacturing scheduling: an ontological approach
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/eb1906677ce140c68fdca756ccc5350a
work_keys_str_mv	AT salmansaeidlou agentbaseddistributedmanufacturingschedulinganontologicalapproach AT mozafarsaadat agentbaseddistributedmanufacturingschedulinganontologicalapproach AT ebrahimaminisharifi agentbaseddistributedmanufacturingschedulinganontologicalapproach AT guiovannidjules agentbaseddistributedmanufacturingschedulinganontologicalapproach
_version_	1718444748580061184

Agent-based distributed manufacturing scheduling: an ontological approach

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