Bibliographic citations
Carrera, J., Landa, J. (2023). Implementación de herramientas Lean Manufacturing para reducir los tiempos improductivos en una empresa textil [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/671025
Carrera, J., Landa, J. Implementación de herramientas Lean Manufacturing para reducir los tiempos improductivos en una empresa textil [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/671025
@misc{renati/411595,
title = "Implementación de herramientas Lean Manufacturing para reducir los tiempos improductivos en una empresa textil",
author = "Landa Moscoso, Jazmin Veronika",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The Textile and Clothing industry is a sector of great relevance for the Peruvian economy in terms of production, international trade, contribution to employment, and contribution to GDP. However, there is a high segmentation in the sector, since 99.0% of formal companies are micro, small, and medium-sized companies (MiPyMe). These types of companies are characterized by having low productivity and competitiveness in innovation and technology, due to factors related to work methods, management, control, and processes. Consequently, in the last ten years, the sector has been showing a contraction in production, employment, and foreign trade, given the high competitiveness of international markets with low production costs. In this sense, the present study analyzes the factors that affect the efficiency of operational processes and addresses the improvement of productivity with a case study. The implementation model proposes the integration of techniques and tools from the work- study, and the Lean Manufacturing methodology, such as time study, VSM, 5S, and autonomous maintenance. The application of the set of selected tools aims to develop a systematic improvement and optimization appropriate to the conditions and limitations of the production systems of the textile and clothing industry. The results of the model validation indicated that unproductive times were reduced from 13.6% to 9.9%, machine downtime by 62.4%, and work overload by 70.9%. Finally, productivity increased by 90.1%.
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