Intelligent Manufacturing Model Based on Standard Work, TPM and SMED with IoT under Industry 4.0 to Improve Productive Efficiency .

Abstract

Resumen— In the textile sector, productive efficiency is a key factor for the competitiveness and sustainability of companies. In this context, the present study was carried out in a Peruvian textile company dedicated to garment manufacturing, where a low level of productive efficiency was identified, reaching 31.52%, compared to the sector’s average of 50.3%, which reveals a technical gap of 18.78%. This problem arises mainly from the lack of process standardization, the high variability of production times, and long changeover times between product references. To address this situation, an intelligent manufacturing model is proposed that integrates the tools Standard Work, TPM and SMED, complemented with IoT technologies within the framework of Industry 4.0, with the purpose of optimizing the efficiency of the garment manufacturing process. Based on the application of these methodologies, it is expected to achieve a reduction of more than 40% in non-productive times, a reduction of at least 35% in set-up times, and an increase in the overall efficiency of the process above 50%, reaching industry benchmarks. These results will help close the identified technical gap, improve productivity and process traceability, and contribute to the digital transformation of the Peruvian textile industry.