Seleção de fornecedores de peças usando fuzzy AHP no setor de produção de áudio e televisão

Abstract

Today's highly competitive environment is forcing manufacturing organizations to establish effective long-term collaboration with efficient organizations. As a result, an effective supplier selection process is very important to the success of any manufacturing organization for cooperation and is essential for companies to get competitive advantage. The purpose of this dissertation is to develop a model that support the decision making on the parts suppliers selection, through the Fuzzy Analysis Hierarchical Process (FAHP), in a supply chain. In order to carry out the suppliers selection process, as data input was used the experts team of Procurement, Quality and Process Engineering areas. From this model, a tool was developed that provided the supplier selection automatic result. The main results were achieved: increasing knowledge, applying the FAHP, defining and presenting the priority and the weights of the criteria for decision making of suppliers selection. It was concluded that the presented model is reliable and simple execution, however, it depends on the expertise and the technical knowledge of the participants on the subject in question. The study presented has its importance for the industry as well as the process presenting relevant results.