Citas bibligráficas
De, L., Garcia, L. (2024). Diseño de un modelo de gestión de inventarios para reducir stock de producto terminado en una empresa de minerales no metálicos [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/682890
De, L., Garcia, L. Diseño de un modelo de gestión de inventarios para reducir stock de producto terminado en una empresa de minerales no metálicos [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/682890
@misc{renati/1299958,
title = "Diseño de un modelo de gestión de inventarios para reducir stock de producto terminado en una empresa de minerales no metálicos",
author = "Garcia Zela, Luis Angel",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
This project presents the design of an inventory management model to reduce excess stock in a Peruvian non-metallic minerals processing company. Inefficient inventory management has led to significant economic losses, with an annual cost of S/ 1,307,530 due to overstock, accounting for 14.86% of the company's total expenses. The analysis revealed a low inventory turnover ratio of 0.45, well below the industry average of 0.85, indicating issues related to demand forecasting, overproduction, and poor warehouse management. To address these issues, an integrated approach was implemented, combining Sales and Operations Planning (S&OP), ABC classification, and Economic Order Quantity (EOQ). S&OP aligned production schedules with actual market demand, effectively reducing excess inventory. ABC classification prioritized high-value products, improving resource allocation. The EOQ model optimized order sizes, balancing holding and ordering costs. The results showed significant improvements. The inventory turnover ratio increased from 0.45 to 0.73, and annual excess inventory costs were reduced by 27.28%, resulting in savings of S/ 317,000. Additionally, inventory accuracy improved by 10%, and warehouse utilization was optimized, freeing up space and enhancing operational flow. The implemented model not only improved inventory control but also contributed to more informed decision-making, aligning the company's operational strategy with market needs and sustainability goals.
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