Perfil comportamental no processo de seleção e desempenho de operadores do trator florestal harvester

Abstract

Modern machines of high technology and productivity perform the mechanized forest harvesting operations. However, the lack of skilled and desirable profile for the machine operator function with knowledge, behavior and motor skills is a problem currently faced by Brazilian forest companies. The aim of this study was to evaluate the effect of the behavioral profile in the selection and performance of forest machine operators, in order to support the process of capitation, increased productivity and reduced costs. The study was conducted in a forestry company located in the Midwest, Brazil, with a sample of 20 workers trained as harvester operators. Initially, it was developed the "Pro function" for the harvester operator task by using the behavioral profile tool, which is a management system that measures the behavior of people and provides a graphical model of the requirements for a high performance individual. Following, it was characterized the behavioral profile of workers, divided into classes according to the requirements defined by the "Pro Function". Then the performance of operators in profile classes was analyzed by means of the productive efficiency of data and mechanical availability obtained in the forest cutting operation for a period of 11 months, the average data compared by Tukey test at 5% probability. Operators of learning curves were constructed from regression analyzes profile class in the evaluated variables. Finally the effect of training time on the mechanical availability and production efficiency of the operators was modeled using regression analysis. The results showed that the behavioral profile tool grouped workers in three distinct profile classes where the best profile of operators have the following behavioral competencies: attention to detail, commitment to deadlines, patient-oriented and technically suitable for repetitive tasks. The worst profile operators have the following characteristics: proactive, risk-taking, fast with people, explosive, informal, careful rules and technically oriented. The performance of operators increased during this period, reaching maximum production efficiency in the seventh month of 110%. The average difference in the monthly cost of production during the period of training among the best operators and worst profile was 11.7% per machine. The behavioral profile tool proved to be an efficient tool for use in the process of selection and training of forest machine operators.