Citas bibligráficas
Lazo, K., Mendoza, T. (2024). Aplicación de herramientas Lean Manufacturing para incrementar la eficiencia en el área de producción de la línea de panes en el sector panificación en Lima, Perú [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/674223
Lazo, K., Mendoza, T. Aplicación de herramientas Lean Manufacturing para incrementar la eficiencia en el área de producción de la línea de panes en el sector panificación en Lima, Perú [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/674223
@misc{renati/418711,
title = "Aplicación de herramientas Lean Manufacturing para incrementar la eficiencia en el área de producción de la línea de panes en el sector panificación en Lima, Perú",
author = "Mendoza Sanchez, Tatiana Liseth",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
The purpose of this is to use a methodology that helps solve the root causes of the main problem, which is the low efficiency in research on the panel line in a company in the baking sector, which generates lost costs, which represents 12.09%. of annual income. For this reason, research was carried out to mitigate the problem found, and Lean Manufacturing is the ideal methodology to eliminate the causes found in the research work. This methodology is defined as an integrated system of continuous process improvement and has the purpose of eliminating waste or activities that do not add value, increasing quality and reducing production times and costs. The Lean tools to use are 5S, TPM, SMED and Standardized Work. In addition, the OEE indicator was used to identify the company's efficiency percentage, which was 61%. In order to achieve a good and acceptable valuation regarding its efficiency, it will have to be 85% to represent an optimal OEE. In this sense, the model was evaluated in the baking company through the validation of a pilot plan, and the result was 77% of the OEE, representing a 16% increase in production efficiency.
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