Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/73443
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Campo DCValorIdioma
dc.creatorVictor Camargo
dc.creatorFranklina Toledo
dc.creatorBernardo Almada Lobo
dc.date.accessioned2022-09-11T07:03:33Z-
dc.date.available2022-09-11T07:03:33Z-
dc.date.issued2014
dc.identifier.issn0377-2217
dc.identifier.othersigarra:64633
dc.identifier.urihttps://hdl.handle.net/10216/73443-
dc.descriptionIn this paper, we investigate a two-stage lot-sizing and scheduling problem in a spinning industry. A new hybrid method called HOPS (Hamming-Oriented Partition Search), which is a branch-and-bound based procedure that incorporates a fix-and-optimize improvement method is proposed to solve the problem. An innovative partition choice for the fix-and-optimize is developed. The computational tests with generated instances based on real data show that HOPS is a good alternative for solving mixed integer problems with recognized partitions such as the lot-sizing and scheduling problem.
dc.language.isoeng
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências Tecnológicas, Ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Engineering and technology
dc.titleHOPS - Hamming-Oriented Partition Search for production planning in the spinning industry
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1016/j.ejor.2013.10.017
dc.identifier.authenticusP-008-JSA
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Aparece nas coleções:FEUP - Artigo em Revista Científica Internacional

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