Utilizando controle estatístico de qualidade na análise do fluxo de aeronaves do aeroporto de Santa Maria / SE

Abstract

Air transport is one of the most dynamic sectors in the world economy. It fulfills an important role by improving economic relations and allowing the exchange of people and goods among nations. The control chart is a method of detecting abnormal causes, i.e. unusual causes that, acting on the process, causes a high variability in the output (process result). By means of the control chart, it is possible to assess trends, patterns of non-randomness and instabilities of the process, what allows to interrupt and take corrective action before they produce items outside of the specified limits. The present work aims at evaluating the statistical control of quality of the air traffic flow in the airport of Aracaju (SE). The analyzed variables are: landing and take-off from the year 2007 to 2013. The data used in this study was provided by the airport administration (INFRAERO). We performed a descriptive analysis of the studied variables and a normality test, which shows that, with 5% of significance, the variables follow a normal distribution with a low dispersion over the years. After that, we used the control charts what idenfied points outside of statistical control, therefore, the data is autocorrelated, and then we applied the Box and Jenkins models in order to set the series as stationary. The proposed technique, of removing the data autocorrelation, and then redo the graphics was statistically satisfactory. Finally with the residues obtained from the models, we prepared the revised graphics, showing that all points are within the control limit.