Abstract
AbstractIn recent years, many areas of the industrial sector have experienced fast technological advances and, therefore, have required even more specific tools to control and evaluate their production processes. Statistical Process Control (SPC) is one of the most powerful tools developed to help in effective quality control. Through the control charts, deviations of representative parameters of the process can be detected, reducing the amount of products out of specifications and thereby production costs. This paper aims to use SPC to analyze the variability and stability of a painting process in an office supplies industry. The tools used were the mean and range control charts and the capability analysis. The data were collected taking into account the sequences that make up the paint application process, seeking to offer an improvement in the quality levels of this process to reduce production costs. The results found are of great importance for the company, as control limits that have been established and will allow the process monitoring. In cases where the analysis diagnosed the process remaining out of control, it was necessary to study its causes of variability.KeywordsStatistical process controlControl chartsProduction process
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