Bibliographic citations
Balavarca, R., Lindo, C. (2021). Modelo de gestión de inventarios basado en Lean Warehousing para incrementar los pedidos perfectos en empresas confiteras de Lima [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/658540
Balavarca, R., Lindo, C. Modelo de gestión de inventarios basado en Lean Warehousing para incrementar los pedidos perfectos en empresas confiteras de Lima [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/658540
@misc{renati/398073,
title = "Modelo de gestión de inventarios basado en Lean Warehousing para incrementar los pedidos perfectos en empresas confiteras de Lima",
author = "Lindo Córdova, Cristina Nicole",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
An efficient inventory management is essential to improve the index of perfect orders in an organization and even more if it is a perishable product industry. This document develops an inventory management model based on Lean Warehousing to increase the perfect orders in a confectionery sector company. To do this, it is proposed to integrate the Pull Production System, Kanban, FEFR Operational Activity (First Expired, First Out), Standardized Work and Purchasing Management Policy with EOQ Calculation to mitigate the root causes identified in the problem tree, which affect the perfect order index, 72%. This inventory management model is structured in three phases called "Create stability", "Create flow" and "Make Flow". The application of the model reduces the inefficient classification of products, excess of immobilized stocks, breach of delivery of inputs by supplier and inaccurate provider order classification by 14%, 12%, 7% and 3% respectively. With this improvement, it is possible to increase the perfect orders by 15%, validated in the Arena Simulation software by simulating the proposed system. According to the results, a balance between the level of inventory and perfect deliveries is achieved, reducing the associated costs at 3.38% over the annual gross income.
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