Implantação da eficiência global do equipamento (OEE) como ferramenta de apoio à tomada de decisão em uma indústria alimentícia

Abstract

Increasing the efficiency of the use of resources is a differential in the current competitive environment among companies in different segments. Constant process optimization is an alternative to promote prominence and leverage the success of an organization. To assess the performance of processes, machines and equipment, the OEE - Global Equipment Efficiency is used, which is an indicator responsible for measuring and analyzing the availability, performance and quality indices. In order to evaluate the performance of the machine under study and to suggest possible improvements through the results obtained, the work focused on the study of a filling machine for a production process for mixing cakes in a food industry located in the business hub of Goiás Through data collection and calculations that the OEE - Global Equipment Efficiency indicator was generated, later using quality tools such as the Pareto graphical representation to stratify the stops, the cause and effect diagram to identify the causes the most impacting stoppage in the operation and the 5W2H tool in the creation of the action plan to propose improvements and optimize the results of the global efficiency indicator. The results obtained were 63.27% for availability, 60.94% for performance, 97.94% for quality and 37.76% for OEE. Based on the results, he concluded that availability and performance were the indexes most affected by the operational stops, due to constant adjustments and adjustments of the machine, caused by the lack of procedures, improper packaging, low efficiency training, obsolete machine, sporadic preventive maintenance. and that the OEE indicator is well below national and international standards, being sufficient to demonstrate its application, in the evaluation of the filling company's performance, in the identification of losses and in the elaboration of the action plan to seek better results from the production process.