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Scheduling of job shop, make-to-order industries with recirculation and assembly: discrete versus continuous time models

dc.contributor.authorGomes, Marta C.
dc.contributor.authorBarbosa-Póvoa, Ana Paula
dc.contributor.authorNovais, Augusto Q.
dc.date.accessioned2010-07-27T14:59:38Z
dc.date.available2010-07-27T14:59:38Z
dc.date.issued2009-08-10
dc.description.abstractThis work studies the performance of two Mixed Integer Linear Programming (MILP) models to solve scheduling problems in a flexible job shop environment with recirculation and assembly using a due-date-based objective function. The models convey different approaches both in the modelling of time (discrete and continuous approaches) as well as in the assignment of jobs to machines. The comparison is carried out for a job shop system considered closer to the industrial reality than the classical job shop problem of a single machine per operation that has been extensively studied in the literature, with the mould making industry providing the motivatingpt
dc.identifier.citationGomes, M. C.; Barbosa-Póvoa, A. P.; Novais, A. Q. Scheduling of job shop, make-to-order industries with recirculation and assembly: discrete versus continuous time models. In: MISTA 2009: 4th Multidisciplinary International Scheduling Conference: Theory and Applications, 2009, 10-12 Agosto, Dublin, Irlandapt
dc.identifier.urihttp://hdl.handle.net/10400.9/869
dc.language.isoengpt
dc.titleScheduling of job shop, make-to-order industries with recirculation and assembly: discrete versus continuous time modelspt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceDublinpt
oaire.citation.titleMISTA 2009: 4th Multidisciplinary International Scheduling Conference: Theory and Applicationspt
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt

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