Bibliographic citations
Mantilla, V., (2021). Propuesta de implementación de MRP, integrando métodos de Lean Manufacturing para aumentar la productividad de las líneas de envasado de una empresa azucarera ubicada en la región La Libertad 2021 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/28746
Mantilla, V., Propuesta de implementación de MRP, integrando métodos de Lean Manufacturing para aumentar la productividad de las líneas de envasado de una empresa azucarera ubicada en la región La Libertad 2021 [Tesis]. PE: Universidad Privada del Norte; 2021. https://hdl.handle.net/11537/28746
@misc{renati/524866,
title = "Propuesta de implementación de MRP, integrando métodos de Lean Manufacturing para aumentar la productividad de las líneas de envasado de una empresa azucarera ubicada en la región La Libertad 2021",
author = "Mantilla Sanchez, Vanesa Alesandra",
publisher = "Universidad Privada del Norte",
year = "2021"
}
The present research aims to increase productivity in the production area of a sugar company located in the La Libertad region. To do this, first a general diagnosis of the area to be worked was elaborated, in this case, production. In order to develop the diagnosis, we use the following techniques: Ishikawa Diagram, Survey, Pareto Diagram, Prioritization Matrix and indicators, with that basis we could determine the current losses of the company in the production area and its costs. We proceeded to develop the improvement proposal for each cause, starting with the Gantt chart to improve staff training; Later the Kanban and TQM method and of course MRP were used. As a final part, an economic analysis was carried out to verify if the study carried out is feasible to apply in the area of, having as a result of a NPV of S / 25,364.44 IRR of 89% and B / C of S / 4.51, with this we can determine that the application of tools is feasible since a reduction in operating costs was obtained from S / 29,423.93 to S / 7,392.69, thereby having a significant benefit of S / 22,031.24 to the company's production area, as well as a return on investment in 2 years.
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