Seleção de fornecedores em projetos de engenharia mecânica utilizando métodos multicritérios de apoio à decisão

Abstract

In supply management, the proper selection of suppliers is crucial to the company's success, and it is common for the problem to present more than one possible solution. In this context, the choice must consider multiple criteria, such as quality, deadline and relationship. Decision makers often base their decisions solely on their experience, which can lead to errors in their assessments due to the absence of a structured analysis to select the best suppliers. For this reason, multicriteria decision analysis methods have stood out because they present sets of standards, procedures and methodologies and seek greater efficiency in the selection process. Therefore, companies seeking to make the most efficient choices quickly have been choosing their suppliers through multicriteria selection methods (MDCM). In this perspective, this work aims to develop a multicriteria decision support model for supplier selection, using the AHP and TOPSIS methods, in order to meet the parameters desired by the company and promote greater efficiency in supply management, enabling more assertive decisions in the selection of suppliers. To this end, a method was developed using AHP to define the hierarchy of importance and the weights of the criteria that the company considers in suppliers. This information was applied to TOPSIS in order to identify the option that comes closest to the best solution and furthest from the worst, according to the criteria previously defined by the company, thus providing support to the person responsible in the decision-making process. The model developed was applied to the practical evaluation of suppliers, with the definition of a clear objective, established analysis criteria and the collection of data from suppliers. In the end, the process resulted in an ordering that highlighted the most efficient alternatives.