Bibliographic citations
Altamirano, F., Torres, C. (2024). Sistema de gestión de stock para reducir los costos de inventario en el almacén de la empresa Farmacéutica Latina [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/31052
Altamirano, F., Torres, C. Sistema de gestión de stock para reducir los costos de inventario en el almacén de la empresa Farmacéutica Latina [Tesis]. PE: Universidad Privada Antenor Orrego; 2024. https://hdl.handle.net/20.500.12759/31052
@misc{renati/380373,
title = "Sistema de gestión de stock para reducir los costos de inventario en el almacén de la empresa Farmacéutica Latina",
author = "Torres Reyna, Carol Ximena",
publisher = "Universidad Privada Antenor Orrego",
year = "2024"
}
The main objective of this research work is to propose a model of Stock Management System in order to minimize inventory costs in the warehouse of the company Farmacéutica Latina. This study presents a basic methodology whose level is descriptive, which was based on a selection of the study sample of 156 products, two samples, the first of 53 items in relation to sales revenue with a percentage of 79.80% and the second of 46 items in relation to inventory turnover (days) with a percentage of 77.15%, using ABC analysis. These items had a coefficient of variability higher than 20% and therefore the probabilistic model of periodic review was applied. Subsequently, an inventory management cost was calculated for each of the products in the warehouse, resulting in an inventory management cost of S/. 126,888.16. Then, the products of the drugstore “Latina” were analyzed, which allowed us to observe that the variation coefficients are greater than 20%, in order to apply the periodic review model with a level of reliability equivalent to 95% and, after performing the necessary calculations, we obtained as a result the total cost of inventory management of S/. 103,019.58 corresponding to the period 2023. Finally, a project was developed applying the ““P““ model, which reduced these costs by 23,868.58, equivalent to 18.81%.
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