Aperfeiçoamento da qualidade dos dados do indicador Overall Equipment Effectveness em uma indústria do ramo alimentício

Abstract

The constant pursuit for excellence and innovation improves competitiveness, transforming challenges into market opportunities. In an environment where the competition for market share is increasingly fierce, adaptation and evolution are essential for an organization to thrive. With this reality, it is imperative for any company to seek continuous improvement in its processes. In the industrial context, managing production focusing on preventing failures and minimizing waste becomes essential. For this purpose, managerial support tools are used that provide important information of a process and allow data-driven decision-making. Thus, performance indicators establish themselves as crucial tools in strategic and quality management, enabling precise measurement of performance and the establishment of metrics for monitoring. In the industrial setting, Overall Equipment Effectiveness (OEE) stands out as a vital instrument for translating a machine's production data into overall efficiency. However, its improper use due to non-conformities in verification sheets can distort managerial perception, leading the company down an inconsistent path. Therefore, this project aims to identify and resolve issues that may compromise the accuracy of OEE information in a food industry setting. Through the PDCA methodology, solutions were implemented, results were monitored, and improvements were proposed. As a result, a 40% improvement in the compliance of the analyzed employee was observed. Given the positive impacts, a guideline was established for applying this approach to other production lines. In the spirit of continuous improvement, actions were suggested and planned to be executed in the next cycle, aiming to achieve operational excellence.