Modelo neural para avaliação da eficiência de empresas brasileiras da construção civil

Abstract

he high competitiveness in the construction industry motivates companies to constant development in pursuit of success in their activities. The success of a company can be seen as a function of its internal organization, the relationship with its stakeholders and the external environment in which it is located. Quantify how much each of the factors impacting the company's results is not trivial. Studies have reported good performance of artificial neural networks in modeling of construction companies efficiency. This work proposes the application of this technique in data analysis related to Brazilian companies, specifically the region of Curitiba, state of Paraná. The resulting model allows the investigation of the importance of each variable, showing the relevant aspects for the good performance of companies. With the model each company can analyze which investments, financial or human resources, will bring the final expected return. It is therefore an additional tool for decision-making by managers of companies in the construction industry.