Logística lean : análise de correlação entre os desperdícios lean e as atividades logísticas
Ano de defesa: | 2011 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal do Espírito Santo
BR Mestrado em Engenharia Civil Centro Tecnológico UFES Programa de Pós-Graduação em Engenharia Civil |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.ufes.br/handle/10/3939 |
Resumo: | The use of the lean manufacturing system is well known, but its application in logistics is a recent practice that can bring many benefits such as improved quality and productivity, minimize costs and reduce waste in processes. This study has the target to analyze the existence of correlation between the seven types of lean waste (overproduction, processing, storage, transport, handling, waiting and defects) and the primary activities of the logistics (order processing, inventory and transportation). To rescue the theoretical work, this dissertation begins with a literature review on the key concepts covered in the survey: logistics, lean thinking, lean logistics and performance indicators. To achieve the proposed objective was chosen the case study (carried out in a company providing road transportation of cargo). As an instrument of data collection used the semi-structured interview based on a preestablished, indirect observation, analysis of records and documents of the company studied and the preparation of flow chart of current value. For the treatment of data we used structural equation modeling, adopting the method of application of Hair et al (2009) suggests a process in which development of six stages. The existence of the correlation was evident in the correlation matrix and change model, in which new relationships were made and provided new adjustment indicators, obtaining a satisfactory model. |