Detalhes bibliográficos
Ano de defesa: |
2014 |
Autor(a) principal: |
Guedes, Edson Júnior Gomes |
Orientador(a): |
Di Serio, Luiz Carlos |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Link de acesso: |
http://hdl.handle.net/10438/11574
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Resumo: |
With a growth scenario found in a few places in the world, the Brazilian automotive market has become attractive, with investments jumping from about $ 1 billion in 2005 to over $ 5 billion in 2012 (ANFAVEA, 2013). This paper aims to provide a case study related to the supply chain of the Brazilian automotive industry with special attention to risk management. Considering the gap identified in the research, namely, terms and definitions of risk management in the supply chain is not consolidated and significant differences between researchers, inadequate coverage of the responses to the risks of incidents and finally the inappropriate use of empirical methods in published research (SODHI; SON; TANG, 2012), the methodology for this study will be the case study, since it provides a suitable one for in-depth analysis of emerging practices (VOSS et al, 2002). Secondary data generated by Sindipeças, ANFAVEA and national institutes will be used in the context of the case study, as well as semi-structured interviews with executives and experts from the fields of risk management and supply chain of an automaker and a supplier tier 2 installed in Brazil. Thus, it is expected to show how is the supply chain risk management in the Brazilian automotive industry through an extreme case study, where samples of the so-called strong links (an automaker) and weak links (a tier two supplier) of the supply chain can be compared on the basis of existing theory in order to understand its limits, variables and new findings. |