Citas bibligráficas
Rumay, C., Rodriguez, J. (2023). Modelo de mejora para reducir la tasa de defectos en una empresa textil y de confecciones usando la herramienta Lean Manufacturing [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/667603
Rumay, C., Rodriguez, J. Modelo de mejora para reducir la tasa de defectos en una empresa textil y de confecciones usando la herramienta Lean Manufacturing [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/667603
@misc{renati/404683,
title = "Modelo de mejora para reducir la tasa de defectos en una empresa textil y de confecciones usando la herramienta Lean Manufacturing",
author = "Rodriguez Contreras, Jose Luis",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The Peruvian textile and clothing sector is one of the most important in the country, both for its contribution to the balance of exports and the generation of internal employment in the country. To participate in the high-quality clothing supply chain, Peruvian companies have had to establish high-quality control processes for their products to satisfy the international market. The defect ratio is one of the indicators that measures the performance of this process, where the company under study reflects an increase in the production of internal defects concentrated in the cutting process, with a 12.7% defect compared to figures of the industry of 6.6%. Research on quality control in textile processes reflects the use of multiple Lean tools related to the identification and reduction of defects, but a quality control system has not yet been built from the point of origin, which is the raw material (fabric) received. That is why the main objective is to develop an improvement model to reduce the defect rate in a textile and clothing company using the Lean Manufacturing tool. Which is verified using technical validation tools such as simulation and the pilot in the cutting area that demonstrate that the proposal produces a reduction in defects from 12.7% to 6.6%, which occurred because of the decrease in product rejections. 4.2% to 2.05% and defects in the raw material from 7.6% to 5.3%. Therefore, it is concluded that the proposed model is efficient to improve quality control in the cutting process.
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