Aplicação do modelo de curva de aprendizagem em processos mecanizados e automatizados como apoio da programação da produção em uma indústria metalúrgica na região de Londrina

Abstract

Several researches point out that there are several factors that influence the productive performance of an operator. The studies of the learning curve have contributed a lot so that the production data could analyze each worker individually, observing their learning potential, and thus facilitating the production forecast. However, with the emergence of automation, mechanization, and robotics, the models developed so far did not contemplate the man-machine relationship so present in today's industries, which made it necessary to develop a mathematical learning model that contemplated the machine cycle and the plateau of each operator to predict their production and times. The present study presents an application of the Learning Curve Model for Mechanized and Automated Processes for two distinct operators, in a machining sector of a metallurgical industry in the region of Londrina, verifying its efficacy, as well as its improvements in relation to previous learning models. The results were satisfactory, showing that the model presented has applicability for Production Planning and Control in industries.