Citas bibligráficas
Casas, H., Negrillo, J. (2022). Propuesta de mejora en la gestión de abastecimiento de materiales de embalaje del servicio de carga para la reducción de costos logísticos en una empresa del sector aeroportuario [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/30168
Casas, H., Negrillo, J. Propuesta de mejora en la gestión de abastecimiento de materiales de embalaje del servicio de carga para la reducción de costos logísticos en una empresa del sector aeroportuario [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/30168
@misc{renati/510755,
title = "Propuesta de mejora en la gestión de abastecimiento de materiales de embalaje del servicio de carga para la reducción de costos logísticos en una empresa del sector aeroportuario",
author = "Negrillo Agurto, Jorge Alexis",
publisher = "Universidad Privada del Norte",
year = "2022"
}
The main objective of this work is to propose an improvement in supply management to reduce logistics costs in a company in the Airport Sector. For this, the problems that affect the growth of the organization were identified and with the help of tools such as the inventory matrix and surveys carried out both to operational and administrative personnel, enough information could be obtained to detect the most relevant problems. Both the dependent and independent variables were identified with their indicators and, under a previous analysis of the current situation, it was detected that they did not have an adequate supply method, for which an improvement was proposed through the EOQ model, which After its implementation, it managed to balance the order quantities with respect to consumption and carry out a standardization in the purchasing process, thus reducing the times per order generation from 39 min in the current scenario to 28 min in the scenario proposed under the implementation of the EOQ model, hand in hand with this reduction in time is added the savings generated by the costs per order generation, since these represent 28%. On the other hand, it was also possible to increase inventory turnover by 94% and, in turn, inventory days were reduced by 47%, this because the EOQ model will be more precise in supplying the packaging materials of the service loading. Together with this improvement, it was possible to reduce storage costs by 48%, since the EOQ supply model is quite accurate based on consumption and does not allow to have much inventory.
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