In the competitive scenary of the 21st century, organizations need to deal with the reality that in order to obtain an above-average return, it is necessary to be willing to meet high quality standards. This article consists of studying the extrusion and painting processes of an aluminum profiles and frames manufacturer, located in the south of Santa Catarina, in order to analyze and measure, through the use of quality tools and statistical software, faults and errors arising from this process. In this context, the research methodology adopted for this study is characterized as exploratory-descriptive, with a quantitative character. The methodological procedure started with an analysis and mapping of the extrusion and painting processes of aluminum profiles, seeking and interpreting information relevant to the study. Then the data was collected and analyzed, where it was possible to apply the Pareto Diagram and identify the most frequent non-conformities. A statistical analysis was then performed using the IBM Statistical Package for the Social Sciences (SPSS) version 21.0 software, comparing and associating the collected data in order to identify and understand the root causes of the defects that occurred. With the results obtained from the analyzes carried out, it became possible to draw up an action plan, using the 5W2H quality tool, containing suggestions and proposals for improvements, with a focus on reducing the scrap generated from the defects identified in the processes of extrusion and painting of aluminum profiles.