Aplicação da metodologia seis sigma para avaliar a produtividade de um processo de britagem

• Autor(a) principal: Gonçalves, Ricardo Heck
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• Texto Completo: http://repositorio.ufsm.br/handle/1/17480
• topic: Seis sigma; DMAIC; Britagem; Six sigma; Crushing; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO

Nowadays, organizations face a highly competitive environment where customer satisfaction and loyalty are important factors for success. In this scenario, it is necessary to use performance improvement methods of production processes. The DMAIC, which is part of the Six Sigma methodology, allows to identify, analyze and improve processes through a consistent, clear and understandable systematic. This study aimed to improve the crushing process performance through application of Six Sigma methodology. It was intended to reduce the crushing process production cost, as well as increasing the final output. It were followed the steps Define, Measure, Analyze, Improve and Control of DMAIC cycle. The method was applied in a crushing plant of a highway construction company of national scope. It was used action research approach, in which the critical features of the company were defined, at first, and related to the crushing process. Then, it was evaluated the potential economic gain from the project, set up the data collection method and applied some tools, which identified the production losses and analyzed the current capability of the production system. The study, based on the methodology, proved the production losses and costs from process inefficiency and provided sustainable improvement actions, through the implementation of an experiment project and of simple and creative improvement actions over the identified losses. It is concluded, therefore, that the project was effective in the losses identification process, and contributed to productivity by identifying improvement actions. The statistical analysis used in the Six Sigma program, although using simple tools, was essential for the sustainability, continuity and reliability of the study.