This research presents an assessment of technical efficiency of 23 Brazilian airports, through the non-parametric technique of Data Envelopment Analysis (DEA), using as parameters the relationship between the capacity of airport components and the flow of passengers and aircraft. DEA has been used in many studies to evaluate efficiency in airports, airlines, ports, highways etc. However, with regard to airports, the relevance of this work is the use of variables related to dynamic capacity of processors passenger, baggage and aircraft - hourly capacity - for the efficiency evaluation. Adjacent to the results of efficiency, the study also identifies the components that affect the performance of the airport as well as the additions and reductions needed to model variables in order to drive to the airport efficiency. The results indicate that 47.8% of the airports operate on the frontier of efficiency when compared to other airports in the sample. As to components processors, it appears that at airports identified as inefficient, "departure lounge" has the highest average percent in terms of the need for increased processing capacity.
Data Envelopment Analysis; airport; efficiency; capacity; linear programming