PDCA Model for Increasing the Inventory Turnover Rate through Integrate ABC, 5S, Kanban and Cycle Counting in a Peruvian Pharmaceutical SME

Stephanie Delgado-Ruiz, Yuri López-Herrera, Percy Castro-Rangel

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The research develops a PDCA model proposal for products warehouse management in a company belonging to the Peruvian retail pharmaceutical sector to optimize inventory management. This is due to the identification of the main problem, which is the low annual inventory turnover during the last year, which has a value of 2.10. This problem in question represents a technical gap in the annual inventory turnover rate of 2.86 with respect to the average between research articles and an organization established in Peru; and a negative economic impact, which represents 11.81% of the annual income for 2021. Based on the literature review, the contribution of this project consists of the development of an ABC analysis, optimization methods and process control such as the 5S methodology, Kanban tool and cycle counting. The main results obtained were the increase in the annual inventory turnover rate by 3.94, the decrease in the percentage of products not located by 0.80%, the decrease in the percentage of products in poor condition by 2.79% and the increase in the accuracy of registration at 97.21%. The research work showed that the integration of Lean Manufacturing tools, through a PDCA model, will achieve a broader solution to the problems generated by poor warehouse and inventory management.

Idioma originalInglés
Título de la publicación alojada9th International Conference on Industrial and Business Engineering, ICIBE 2023
EditorialAssociation for Computing Machinery
Páginas198-205
Número de páginas8
ISBN (versión digital)9798400708824
DOI
EstadoPublicada - 22 set. 2023
Evento9th International Conference on Industrial and Business Engineering, ICIBE 2023 - Beijing, China
Duración: 22 set. 202324 set. 2023

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia9th International Conference on Industrial and Business Engineering, ICIBE 2023
País/TerritorioChina
CiudadBeijing
Período22/09/2324/09/23

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