Gestão de logística avaliação de fornecedores em indústria utilizando inteligência artificial (lógica fuzzy) para a tomada de decisão

Abstract

The quality aspect is considered as an indispensable requirement when it comes to the production of goods or services, because with the highly competitive market, a simple factor that does not please the consumer, can be crucial to generate negative points in business operations. With this, the research conducted in a watch factory X, aimed to analyze the factors that contribute to the performance and analysis of an international supplier. In view of this, to reach this objective, it was necessary to raise the rates of rejects in the process of inspection in receipt and assembly, as well as the process of service term of replacement in reject, aiming to evaluate the supplier's performance. The need to perform this analysis arose through the experience of one of the members of the group, who works in the company, reason why this dissertation can contribute to maximize the decision making of managers in relation to the approval or non-accreditation of suppliers for the production of watches. The quantitative approach aims to measure the variables, as the procedure for data collection was carried out through excel spreadsheet documents copied from the SAP program. At the end of this research, improvement actions were suggested to the company according to the application of the supplier evaluation by the fuzzy logic method. The results achieved in the dissertation, obtains substantiation through the evaluation method used, and thus, minimize the losses that can generate significant losses to the process of waiting for information copilation for decision making.