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Optimizing modular machining line design problem with mixed activation mode of machining units

creativeworkseries.issn1896-8325
dc.contributor.authorBelmokhtar, Sana
dc.contributor.authorDolgui, Alexandre
dc.contributor.authorDelorme, Xavier
dc.contributor.authorIgnatenko, Ivan
dc.date.available2017-07-11T08:20:55Z
dc.date.issued2007
dc.description.abstractA modular transfer line designing problem is investigated. The problem is to find the best subset of modules (machining units) from a given set and to assign them to different stations so that technological constraints and cycle upper limit are respected and the line cost is minimal. The investigated lines have a mixed activation mode for the machining units of each station, i. e. the units of each station are arranged into a series of stages such that each stage is composed of several units activated in parallel. A mixed integer program approach is proposed to model and solve the corresponding design problem. Improvements are suggested in order to reduce the model size and speed up the computations.en
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/dmms.2007.1.2.35
dc.identifier.eissn2300-7087
dc.identifier.issn1896-8325
dc.identifier.nukatdd2008319133
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/44164
dc.language.isoeng
dc.relation.ispartofDecision Making in Manufacturing and Services
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/legalcode
dc.subjectmodular machining lineen
dc.subjectcost optimizationen
dc.subjectmixed integer programmingen
dc.titleOptimizing modular machining line design problem with mixed activation mode of machining unitsen
dc.title.relatedDecision Making in Manufacturing and Services
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 1/2
publicationissue.paginationpp. 35-48
publicationvolume.volumeNumberVol. 1
relation.isJournalIssueOfPublicationf72b5c6f-fca5-4cfe-ae8c-236210c535e9
relation.isJournalIssueOfPublication.latestForDiscoveryf72b5c6f-fca5-4cfe-ae8c-236210c535e9
relation.isJournalOfPublication1a0d5e63-ca5d-4f88-98aa-28b13ec72c08

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