Bibliographic citations
Barzola, V., Calderón, J. (2019). Modelo de producción para aumentar la productividad global y el cumplimiento de entrega en el sector textil peruano aplicando Value Stream Mapping, 5S y Sistemas de Producción Flexible [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/651998
Barzola, V., Calderón, J. Modelo de producción para aumentar la productividad global y el cumplimiento de entrega en el sector textil peruano aplicando Value Stream Mapping, 5S y Sistemas de Producción Flexible [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2019. http://hdl.handle.net/10757/651998
@misc{sunedu/3004912,
title = "Modelo de producción para aumentar la productividad global y el cumplimiento de entrega en el sector textil peruano aplicando Value Stream Mapping, 5S y Sistemas de Producción Flexible",
author = "Calderón Tirado, José Miguel",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2019"
}
The textile industry has a highly competitive market and is one of the main economic engines of the country. The sector provides more than 463 thousand jobs and influences with 7.4% of the Industrial GDP. In many cases; These companies; mostly family members; they do not have the necessary knowledge to implement a production model in accordance with productivity standards and delivery compliance. This article proposes a production model in the clothing industry combining SIPOC techniques; VSM; 5S and a production system with supplier management within the Lean Manufacturing methodology to increase the company's profitability in the short term and make it sustainable over time. The model is validated through a pilot test in a company in the sector. The follow-up of the proposed activities was carried out by studying work indicators; which show results that indicate an increase of 59% and 62% in global productivity and fulfillment of deliveries, respectively.
This item is licensed under a Creative Commons License