dc.contributorRicardo Saraiva de Camargo
dc.contributorAlexandre Xavier Martins
dc.contributorMarcone Jamilson Freitas Souza
dc.contributorGilberto de Miranda Junior
dc.creatorPaganini Barcellos de Oliveira
dc.date.accessioned2019-08-10T17:43:40Z
dc.date.accessioned2022-10-03T23:03:13Z
dc.date.available2019-08-10T17:43:40Z
dc.date.available2022-10-03T23:03:13Z
dc.date.created2019-08-10T17:43:40Z
dc.date.issued2014-12-09
dc.identifierhttp://hdl.handle.net/1843/BUOS-9UJSQ8
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3815843
dc.description.abstractThis paper investigates the application of exact and heuristic algorithms based on Benders decomposition method and on the GRASP metaheuristic combined with the techniques of reconnection by ways (Path Relinking) and targeted perturbations, respectively, to solve the Two Level Uncapacitated Facility Location Problem. This is a problem of the field of Optimization of Large Scale Systems that has wide applicability in several models of existing logistics systems. The challenge of such problems is to select which facilities will be installed that implies in the maximum efficiency to meet the demands of the customers through network. The problem can be modeled and represented in many forms, and in all of them the idea is to establish the amount of flow that leaves a facility on the first level, goes through another facility of second level, to supply the customer demands on the lower level. To demonstrate the efficiency of the proposed methods, analyzes and comparisons of the techniques are made regarding the computational time of resolution and solution quality.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectOtimização de sistemas de grande porte
dc.subjectReconexão por caminhos
dc.subjectMétodo de decomposição de Benders
dc.subjectProblema de localização em dois níveis de facilidades não capacitadas
dc.subjectGRASP
dc.titleProblema de localização em dois níveis de facilidades não capacitadas: algoritmos exatos e heurísticos
dc.typeDissertação de Mestrado


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