Aplicação da metodologia KDD na descoberta de conhecimento em dados relacionados ao setor de manutenção de uma locadora de veículos

Abstract

Aiming that the maintenance processes have a great influence on the profitability of the car rental companies, the present work aimed to analyze characteristics of this sector from the grouping (or clustering) analysis. To that end, the k-means technique was applied in which the main vehicle maintenance attributes were separated into different groups (clusters), so the similarities and differences between the attributes of the groups were verified. In this context, this work contributed to a better understanding of the variables that influence the maintenance processes, allowing them to be grouped in a way that allowed a better visibility for maintenance management. With this, new measures were proposed in the company, with the purpose of directing the investments in an efficient way, improving the policy of application of the resources of the sector, minimizing the risk of unnecessary costs and better managing the variable costs.