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Autonomic computing for scheduling in manufacturing systems

dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorPereira, Ivo
dc.contributor.authorSousa, Nelson
dc.contributor.authorÁvila, Paulo
dc.contributor.authorBastos, João
dc.date.accessioned2013-05-13T13:55:46Z
dc.date.available2013-05-13T13:55:46Z
dc.date.issued2009
dc.date.updated2013-04-23T11:12:54Z
dc.description.abstractWe describe a novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Autonomic Computing has emerged as paradigm aiming at embedding applications with a management structure similar to a central nervous system. A natural Autonomic Computing evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. In this paper we envisage the use of Multi-Agent Systems paradigm for supporting dynamic and distributed scheduling in Manufacturing Systems with Autonomic properties, in order to reduce the complexity of managing systems and human interference. Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems.por
dc.identifier.urihttp://hdl.handle.net/10400.22/1559
dc.language.isoengpor
dc.subjectSchedulingpor
dc.titleAutonomic computing for scheduling in manufacturing systemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePorto, Portugal, 2009por
oaire.citation.titleInternational Symposium on Computational Intelligence for Engineering Systems (ISCIES09)por
person.familyNameMadureira
person.familyNamePereira
person.givenNameAna Maria
person.givenNameIvo
person.identifier.ciencia-id7F1D-5AF2-A101
person.identifier.ciencia-id3E18-2D4C-0E14
person.identifier.orcid0000-0002-0264-4710
person.identifier.orcid0000-0001-5440-3225
person.identifier.ridAAH-1056-2021
person.identifier.ridN-1713-2016
person.identifier.scopus-author-id8634629500
person.identifier.scopus-author-id36675461900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication097b47eb-e9f1-40cb-9fe3-ca46efc578cb
relation.isAuthorOfPublication.latestForDiscovery097b47eb-e9f1-40cb-9fe3-ca46efc578cb

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