Citas bibligráficas
Cortez, D., (2023). Aplicación de un modelo de gestión de inventarios en el almacén de productos terminados y su incidencia en la productividad de la empresa ENLASA Perú SAC Piura 2021 [Tesis, Universidad Privada Antenor Orrego - UPAO]. https://hdl.handle.net/20.500.12759/10215
Cortez, D., Aplicación de un modelo de gestión de inventarios en el almacén de productos terminados y su incidencia en la productividad de la empresa ENLASA Perú SAC Piura 2021 [Tesis]. PE: Universidad Privada Antenor Orrego - UPAO; 2023. https://hdl.handle.net/20.500.12759/10215
@misc{renati/381311,
title = "Aplicación de un modelo de gestión de inventarios en el almacén de productos terminados y su incidencia en la productividad de la empresa ENLASA Perú SAC Piura 2021",
author = "Cortez Gálvez, Daniela",
publisher = "Universidad Privada Antenor Orrego - UPAO",
year = "2023"
}
The main objective of this research study was to improve operational efficiency in the finished products warehouse of the company ENLASA PERU SAC, which was measured by the productivity index. The study began with an analysis of storage costs and operating expenses of each of the 36 items that constituted the population whose result obtained served as the basis for determining the sample, which was obtained using the ABC model using as a unit of analysis first the income from sales and then the rotation of assets thus obtaining a fairly representative sample. Then it was verified that all the elements of the sample had a coefficient of variation of the demand greater than 20% result that allowed to choose the model of periodic review with a level of reliability of 96%. Similarly, it was determined that the storage and productivity costs for the 2021 period were S/5,776,272.93 including acquisition costs and 1.25 respectively. Subsequently, the ““P““ model was applied to the entire representative sample, obtaining as results for the period 2022 an increase in productivity from 1.25 to 2.13 which represented an increase of 70.7%. Likewise, it was determined that storage costs in the 2022 period were reduced by 23.21% compared to the 2021 period.
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