Aplicação da distribuição de poisson para determinação de estoque mínimo de itens de MRO de baixo giro aplicados em manutenção de ativos industriais

• Ano de defesa: 2015
• Autor(a) principal: Santos, Marcos Rogério da Silva [UNESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Controle de estoque; Estoque - Custos; Manutenção; Eficiencia industrial; Inventory control
• Link de acesso: http://hdl.handle.net/11449/132690; http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/15-12-2015/000854297.pdf

The strong competitive environment between organizations motivate them to be more efficient to reduce operating costs without compromising the products or services quality. This cost reduction involves various sectors, including the maintenance of industrial assets, whose its primary function is to maintain the productive capacity of an organization. The impact of these reductions can lead to severe restrinctions, such as unplanned downtime and reduced fill rate, which occurs due to rupture of MRO stock (Maintenance, Repair and Operation). On the other hand, the lack of inventory items denominated slow moving, intermittent, high added cost cause direct profits losses, the demand predictability error can mean the inmobilization of high-value capital in inventory, thus generating a high opportunity cost, represented by the rate applied to the inventories values. This trade of is the purpose of this research, which is a case study with real data demands and costs of companies that have operations using industrial assets, using the Poisson distribution, and the study of the variable total cost behavior. The results obtained was a direct relationship between tha variable total cost and the fill rate showing that there is a minimum point on the curve total cost by increasing the projected amount, determining the point of least cost of stock. The conclusion on the observation of these variables is that the lowest total cost is not always the best level of service