Supplier quality management: an application of logistic regression in the risk analysis

• Ano de defesa: 2019
• Autor(a) principal: Slavov, Rafael [UNIFESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Federal de São Paulo (UNIFESP)
• Palavras-chave em Português: Supply Chain; Risk Management; Supplier Quality Management; Logistic Regression; Cadeia De Fornecedores; Gerenciamento De Risco; Gerenciamento Da Qualidade Dos Fornecedores; Regressão Logística
• Link de acesso: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7952308; https://repositorio.unifesp.br/handle/11600/59137

Supplier quality management is one of the key supply chain challenges. Some contributors are: the number of demands against a limited number of suppliers, the search for new high technology products, the constant development of products due to the component obsolescence and finally the demand of customers for low-cost products with good quality and on time delivery. One of the most investigated supplier’s management approach is risk analysis, which aims to identify potential problems in advance and provide time for corrections or improvements. However, there are questions about which methods are best and how they are applied. In this context, the present work executed a systematic literature review and considering the most methods used, was applied a logistic regression model as an alternative proposal for the risk analysis performed in the supplier’s quality management of an aerospace company. The model was analyzed based on the logistic regression model and the risk calculated by the company.