Analise dos indicadores de desempenho de uma equipe de manutenção industrial

Abstract

Brazil is the largest producer of sugarcane in the world. However, the sugar-energy sector is subject to certain inconsistencies that can hinder operational planning, such as the weather, which can affect the quality and productivity of sugarcane, and the market price of its products, which causes a variation in the productive mix. This study seeks to help develop the operational control of a sugar-energy plant, through the modeling and simulation of the production processes. The studied Sul-Mato Grosso plant does not have a production planning and control department that acts formally, making it difficult for employees to make decisions, so this work presents a simulation model to assist in operational planning. For this purpose, the production processes of crystal sugar and hydrated ethanol were mapped, and data related to the production bulletins for the 2020/2021 and 2021/2022 harvests were collected. The model was developed in Microsoft Excel® spreadsheets, in which 33 days of production were simulated with periods of 24 hours of production, afterwards these simulated values were compared with the actual quantity of the plant. The simulation of average percentage error of 0.22% for sugar and 0.57% for ethanol, the 4.MAD (Mean Absolute Deviation) was also verified, which corrects the errors were acceptable, so the model was validated. The potential that the operational control tool has to improve sugar-energy processes, reduce losses and make them more efficient becomes evident.