Procedimento de picking em um centro de distribuição utilizando princípios lean

• Ano de defesa: 2012
• Autor(a) principal: Gontijo, Layla de Barros Lima Marques
• Orientador(a): Politano, Paulo Rogério
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP
• País: BR
• Palavras-chave em Português: Logística; Produção enxuta; Centro de distribuição; Picking; Simulação; Princípios Lean
• Palavras-chave em Inglês: Picking; Distribution center; Lean principles; Simulation
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: https://repositorio.ufscar.br/handle/ufscar/3700

The companies included in a globalized environment, so as to ensure their competitiveness and profitability, are seeking to implement operational excellence programs that aim at customer satisfaction (service level achieved at a fair price) and its employees. The lean philosophy has been pervasive in all sectors, and in the entire chain of value stream, as a means of getting to win this excellence and differentiate themselves in the international market. The distribution centers, and specifically the activity of picking, present themselves as a key point in this chain when considering improvements, since depending on the type of distribution center, the cost of labor associated with picking coul be significative. Coupled with the cost, the time of this activity substantially affects the cycle time of application, ie, the time between receiving a customer order and correct delivery of products. This study therefore aims to contribute to the understanding of the gains that can be obtained with the use of tools and concepts of "Lean thinking" implemented in picking procedure in a distribution center. To this are presented two proposals to do the picking process. The proposals built based on concepts of lean tools are simulated using the Simio, simulation software , and compared with the current process. The analysis of simulation results helped to find out what the procedure for picking has the best performance and satisfies customer requirements.