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Performance Evaluation of Bidding-Based Multi-Agent Scheduling Algorithms for Manufacturing Systems

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Performance Evaluation of Bidding-Based Multi-Agent Scheduling Algorithms for Manufacturing Systems

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dc.contributor.author Gordillo-Sosa, José Antonio es_ES
dc.contributor.author Giret Boggino, Adriana Susana es_ES
dc.date.accessioned 2017-09-14T18:38:54Z
dc.date.available 2017-09-14T18:38:54Z
dc.date.issued 2014-12
dc.identifier.issn 2075-1702
dc.identifier.uri http://hdl.handle.net/10251/87313
dc.description.abstract [EN] Artificial Intelligence techniques have being applied to many problems in manufacturing systems in recent years. In the specific field of manufacturing scheduling many studies have been published trying to cope with the complexity of the manufacturing environment. One of the most utilized approaches is (multi) agent-based scheduling. Nevertheless, despite the large list of studies reported in this field, there is no resource or scientific study on the performance measure of this type of approach under very common and critical execution situations. This paper focuses on multi-agent systems (MAS) based algorithms for task allocation, particularly in manufacturing applications. The goal is to provide a mechanism to measure the performance of agent-based scheduling approaches for manufacturing systems under key critical situations such as: dynamic environment, rescheduling, and priority change. With this mechanism it will be possible to simulate critical situations and to stress the system in order to measure the performance of a given agent-based scheduling method. The proposed mechanism is a pioneering approach for performance evaluation of bidding-based MAS approaches for manufacturing scheduling. The proposed method and evaluation methodology can be used to run tests in different manufacturing floors since it is independent of the workshop configuration. Moreover, the evaluation results presented in this paper show the key factors and scenarios that most affect the market-like MAS approaches for manufacturing scheduling. es_ES
dc.description.sponsorship A Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Program supported this research.
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation.ispartof Machines es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multi-agent systems es_ES
dc.subject Intelligent manufacturing systems es_ES
dc.subject Manufacturing scheduling es_ES
dc.subject Task allocation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Performance Evaluation of Bidding-Based Multi-Agent Scheduling Algorithms for Manufacturing Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/machines2040233
dc.relation.projectID info:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/24227/2005/PT en_EN
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Gordillo-Sosa, JA.; Giret Boggino, AS. (2014). Performance Evaluation of Bidding-Based Multi-Agent Scheduling Algorithms for Manufacturing Systems. Machines. 2(4):233-254. doi:10.3390/machines2040233 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/machines2040233 es_ES
dc.description.upvformatpinicio 233 es_ES
dc.description.upvformatpfin 254 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 282037 es_ES


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