| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| Capa | 56.53 KB | Adobe PDF | ||
| Inicio | 17.94 KB | Adobe PDF | ||
| Dissertação | 2.35 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Nesta dissertação apresenta-se um estudo bastante desenvolvido sobre as bases
probabilísticas e estatísticas da filosofia de gestão Seis Sigma, justificando-se não
só a introdução do factor 1,5 como forma de equivalência entre os números de
defeitos por milhão de oportunidades na distribuição normal, mas também a
definição dos diversos níveis seis sigma. Como aplicação directa desta filosofia,
descreve-se o modelo de Desempenho de Negócios Seis Sigma e apresenta-se, em
pormenor, a filosofia de Manutenção Industrial Seis Sigma, definindo-se um
conjunto de indicadores de desempenho técnico e económico a serem utilizados,
assim como um novo factor de correcção a ser considerado nas Cartas de
Desempenho. A finalizar, faz-se a aplicação prática da Manutenção Industrial Seis
Sigma à determinação do desempenho da Função Manutenção, para o período
temporal compreendido entre 2003 e 2007, de uma unidade fabril do sector
automóvel, integrada num grande grupo multinacional de origem americana.
This M.Sc. Thesis presents a developed study concerning both probabilistic and statistic basis related to the Six Sigma management philosophy, justifying not only the introduction of the factor 1.5 as an equivalence between the number of defects per million opportunities in the normal distribution but also the definition of the various six sigma levels. As a direct application of this philosophy, it also describes the Six Sigma Business Scorecard model and is presented in detail the philosophy of Six Sigma Industrial Maintenance Scorecard, setting up a set of technical and economic key performance indicators to be used, as well as a new correction factor to be considered in the Scorecards. Finally, a practical application of Six Sigma Industrial Maintenance is made to determine the performance of the Maintenance Function concerning the time period between 2003 and 2007, for a plant of the automotive sector, as a part of a large American multinational group.
This M.Sc. Thesis presents a developed study concerning both probabilistic and statistic basis related to the Six Sigma management philosophy, justifying not only the introduction of the factor 1.5 as an equivalence between the number of defects per million opportunities in the normal distribution but also the definition of the various six sigma levels. As a direct application of this philosophy, it also describes the Six Sigma Business Scorecard model and is presented in detail the philosophy of Six Sigma Industrial Maintenance Scorecard, setting up a set of technical and economic key performance indicators to be used, as well as a new correction factor to be considered in the Scorecards. Finally, a practical application of Six Sigma Industrial Maintenance is made to determine the performance of the Maintenance Function concerning the time period between 2003 and 2007, for a plant of the automotive sector, as a part of a large American multinational group.
Description
Keywords
Seis Sigma Sigma Magra Gestão Seis Sigma - Qualidade Nível seis Sigma - Metodologia Seis Sigma - Avaliação do desempenho Manutenção industrial seis Sigma - Multinacional - Estudo de caso
Pedagogical Context
Citation
Publisher
Universidade da Beira Interior