Automation and Efficiency in the Textile Industry: Application of IoT and Machine Learning to Optimize Production

The textile industry faces significant challenges due to the lack of efficiency in manufacturing processes, which limits its ability to compete in the global market. This problem is exacerbated by the dependence on imports and the decrease in production caused by external factors. This research focuses on addressing the low efficiency in polo shirt production, identifying the main causes, which include machine failures and quality errors. The importance of solving these problems is highlighted, especially since they represent most of the reasons for rework in the company studied. The implementation of tools such as preventive maintenance and work standardization is proposed in the context of the technological trend of Industry 4.0, to improve operational efficiency. The results show a significant reduction in unproductive times and an increase in the meantime between failures and in production efficiency. The research concludes that the implementation of these tools is effective in closing the efficiency gap in textile production and can be applied in other similar scenarios to improve competitiveness and sustainability in the industry.