Análise da produtividade da mão de obra na execução de alvenaria estrutural e alvenaria convencional

Abstract

Technological development in the Brazilian industry has driven many industries, including the construction, which is one of the largest in the country's economy. In this sense, it is clear that companies look for ways to improve their production processes, seeking different alternatives in relation to other companies, investing in quality and productivity and thus acquiring greater competitiveness. In this context, the present work deals with the measurement and comparison of the productivity of labor in the execution of conventional masonry and masonry, as well as factors that may influence it. The methodology for allocation of the data were used to model the Input - Output Model and Factors, which was analyzed in the town of Alegrete / RS, a total of eleven days of measurement, a work in masonry and seven days of measurement , another work in conventional masonry. The first model made it possible to understand the productivity from information related to the inputs, the outputs of the production process, whereas the second model helps to know the factors that interfere with the performance of productivity. The productivity measurement was performed using the partial index called Reason Unitary Production ( RUP ). After analyzing the data, obtained daily in the works, they were compared with the rates published in TCPO (2010 ), where productivity indicators - RUP - of labor, in the service of masonry were lower than estimated , which shows that this system showed good productivity. The conventional masonry productivity indicators presented - OR - of labor above the estimate, which showed a low productivity. After this analysis it was possible to detect the factors influencing productivity indices, such as: product feature, materials and components, equipment and tools, manpower, organization of production, variation in temperature, atmospheric events, as well as highlight the importance this knowledge can be of great value in the planning stages and service management.