Publicação:
Strategies to model scheduling decisions to plan the soft drink production process

Página do item simplificado
dc.contributor.authorRangel, Socorro
dc.contributor.authorMaldonado, Michelli [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:26:51Z
dc.date.available2014-05-27T11:26:51Z
dc.date.issued2012-06-13
dc.description.abstractIn this paper we present a mixed integer model that integrates lot sizing and lot scheduling decisions for the production planning of a soft drink company. The main contribution of the paper is to present a model that differ from others in the literature for the constraints related to the scheduling decisions. The proposed strategy is compared to other strategies presented in the literature.en
dc.description.affiliationUNESP São Paulo State University, Rua Cristóvão Colombo, 2265, 15054-000, São José do Rio Preto, SP
dc.description.affiliationUnespUNESP São Paulo State University, Rua Cristóvão Colombo, 2265, 15054-000, São José do Rio Preto, SP
dc.format.extent181-185
dc.identifier.citationICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems, p. 181-185.
dc.identifier.scopus2-s2.0-84861993074
dc.identifier.urihttp://hdl.handle.net/11449/73381
dc.language.isoeng
dc.relation.ispartofICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAsymmetric traveling salesman problem
dc.subjectIntegrated lot sizing and scheduling models
dc.subjectProduction planning
dc.subjectLot sizing
dc.subjectLot-scheduling
dc.subjectMixed integer models
dc.subjectProduction Planning
dc.subjectProduction process
dc.subjectScheduling decisions
dc.subjectScheduling models
dc.subjectSoft drink companies
dc.subjectSoft drinks
dc.subjectBeverages
dc.subjectPlanning
dc.subjectProduction control
dc.subjectProduction engineering
dc.subjectScheduling
dc.titleStrategies to model scheduling decisions to plan the soft drink production processen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

Arquivos

Coleções

Artigos