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Sistema integrado de inventarios por pronósticos basado en la gestión del conocimiento para la disminución de los quiebres de stock en una PYME distribuidora |
Published in: | Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology | |
Date of Conference: | July 24-26, 2019 |
Location of Conference: | Montego Bay, Jamaica |
Authors: | Johan Bonett (Universidad Peruana de Ciencias Aplicadas, PE) Linda Silva (Universidad Peruana de Ciencias Aplicadas, PE) Gino Viacava (Universidad Peruana de Ciencias Aplicadas, PE) Carlos Raymundo (Universidad Peruana de Ciencias Aplicadas, PE) (Universidad Peruana de Ciencias Aplicadas) |
Full Paper: | #34 |
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Abstract:In the current market, there is a large number of SMEs that have a large margin of economic losses due to breaks in stock, due to the inefficient supply process. In other words, the lost sales and the additional costs generated by not having their products available in their stores is a critical scenario in distribution companies, whose added value lies in maximizing their level of customer service. To solve this problem, we propose a system that integrates the development of forecasts and the model of periodic review inventories, both tools based on the framework that is considered taking into account models of knowledge management. The forecasts made, after analyzing the demand, their patterns and choosing the best method to use, are antecedents to develop inventory management and its policies. Likewise, knowledge management will act as a support for the integrated system by ensuring that the knowledge acquired is sustainable and remains in time until it is renewed. Through the simulation carried out for an SME distributor of lubricants, results were obtained that indicate a reduction of 93% in losses due to stock-outs and an increase in the level of service that goes from 77% to 91%. This proposal constitutes an interesting integrated system to be applied as a solution for SMEs that have high stock-outs and lack this type of tools |