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dc.contributor.advisorChiwiacowsky, Leonardo Dagnino
dc.contributor.authorArtmann, Fernando Gromowski
dc.date.accessioned2015-06-01T12:45:08Z
dc.date.accessioned2022-09-22T19:12:48Z
dc.date.available2015-06-01T12:45:08Z
dc.date.available2022-09-22T19:12:48Z
dc.date.issued2011-03-25
dc.identifier.urihttps://hdl.handle.net/20.500.12032/58239
dc.description.abstractCompetitiveness is an element that increases on a daily basis considering nowadays businesses. Companies with more efficient structures in terms of costs have an important advantage when compared to their competitors. This greatly motivates companies to reduce costs. Inventory control is an existing problem in many companies and organizations. Many types of costs are associated to this problem. Also, the amount of money involved in inventory maintenance is very considerable. So, the better the inventory control process is, the lower the costs related to it will be. This paperwork proposes a tool to optimize inventory levels on a retailer company, considering profit, costs and service level attendance. This is done by using a Forecasting Method called Exponential Smoothing with Multiplicative Seasonality, an Optimizer based on the Guided Local Search metaheuristic and a Discrete Deterministic Simulator. This tool uses a series of parameters in order to allow users to create different scenarios. The results obtained with the conducted experiments show that the tool is capable of finding good solutions to the problem of inventory levels, as well as creating alternative scenarios to operate the inventory system..en
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectOtimização de níveis de estoquept_BR
dc.subjectGuided local searchen
dc.titleOtimização de níveis de estoque de uma rede varejista através do uso de modelos previsores, simulação discreta determinística e metaheurísticaspt_BR
dc.typeDissertaçãopt_BR


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