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An agent-based disturbance handling architecture in manufacturing control

dc.contributor.authorLeitão, Paulo
dc.contributor.authorBarata, José
dc.date.accessioned2010-01-27T19:58:34Z
dc.date.available2010-01-27T19:58:34Z
dc.date.issued2007
dc.description.abstractIn industrial environments, disturbance handling is a major issue in reconfigurable manufacturing control systems, supporting the fast, effective and efficient response to the occurrence of unexpected disturbances. Those disturbances usually degrade the performance of the system, causing the loss of productivity and business opportunities, which are crucial roles to achieve competitiveness. This paper proposes an agent-based disturbance handling architecture that distributes the disturbance handling functions by several autonomous control units and considers the main types of shop floor disturbances that have impact at planning and scheduling level. The proposed architecture also integrates a prediction component, transforming the traditional “fail and recover” practices into “predict and prevent” practices.pt
dc.identifier.citationLeitão, Paulo; Barata, José (2007). An agent-based disturbance handling architecture in manufacturing control. In Proceedings of the IFAC Intelligent Manufacturing Systems Workshop (IMS’07). Alicante, Spain.pt
dc.identifier.urihttp://hdl.handle.net/10198/1538
dc.language.isoengpt
dc.subjectIntelligent manufacturing systemspt
dc.subjectMulti-agent systemspt
dc.subjectDisturbance handlingpt
dc.titleAn agent-based disturbance handling architecture in manufacturing controlpt
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceAlicante, Spainpt
oaire.citation.titleIFAC Intelligent Manufacturing Systems Workshop (IMS’07)pt
person.familyNameLeitão
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id35584388900
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery68d9eb25-ad4f-439b-aeb2-35e8708644cc

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