The classical Data Envelopment Analysis (DEA) allows us to evaluate public organizations' effectiveness, however, such models can classify as efficient organizations that, in fact, are not. This paper aims to evaluate, through a DEA model that incorporates managerial preferences, the efficiency of the twenty five National Department of Mineral Production (DNPM) superintendence's. In this paper we considered as output the amount of servers in the middle and end areas. The number of mining titles granted in 2016 was analyzed as input. In order to upgrade the classical DEA mode, we utilized manager preferences regarding outputs by the assurance region method. The results exhibited that, when incorporating management preferences into the classic DEA models, the superintendence number that showed maximum operational efficiency reduced from eight to five. For superintendence classified as inefficient, we identified the benchmarks and a performance target, since they can support the action planning aimed at reducing the high liabilities pending processes for analysis by the municipality.