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A fast heuristic for a lot splitting and scheduling problem of a textile industry

dc.contributor.authorPimentel, Carina
dc.contributor.authorAlvelos, Filipe
dc.contributor.authorCarvalho, J.M. Valério de
dc.contributor.authorDuarte, António
dc.date.accessioned2012-07-20T09:08:27Z
dc.date.available2012-07-20T09:08:27Z
dc.date.issued2010
dc.description.abstractIn this paper we address a lot splitting and scheduling problem of a Textile factory that produces garment pieces. Each garment piece is made of a set of components that are produced on the knitting section of the company. The problem consists of finding a weekly production plan for the knitting section, establishing the quantities to produce of each component (organized in one or several lots), and where and when starting/completion times) to produce them. The main contribution of this work is the development of a constructive heuristic that generates automated knitting scheduling plans. The heuristic produces solutions very fast for a set of randomly generated instances based on real world data.por
dc.identifier.citationPimentel, Carina; Alvelos, Filipe; Carvalho, J.M.; Valério; Duarte, António J.S.T. (2010). A fast heuristic for a lot splitting and scheduling problem of a textile industry. In IFAC MCPL. Coimbrapor
dc.identifier.urihttp://hdl.handle.net/10198/7277
dc.language.isoengpor
dc.peerreviewednopor
dc.publisherIFACpor
dc.subjectSchedulingpor
dc.titleA fast heuristic for a lot splitting and scheduling problem of a textile industrypor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbrapor
oaire.citation.titleIFAC MCPLpor
person.familyNameDuarte
person.givenNameAntónio
person.identifier.ciencia-id9C13-787B-295F
person.identifier.orcid0000-0003-3759-3850
person.identifier.ridH-4473-2011
person.identifier.scopus-author-id36967901400
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication40f0f385-492d-4c6c-8949-2480688b1666
relation.isAuthorOfPublication.latestForDiscovery40f0f385-492d-4c6c-8949-2480688b1666

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