Management model for the application of lean manufacturing tools to reduce returns of incorrect orders in a pharmaceutical company
Descripción del Articulo
The research seeks to apply lean manufacturing tools to reduce returns of wrong orders, the main problem that affects the company under study, which is a pharmaceutical company. For which it will begin by developing a value stream mapping that determines the waste and the Lean tools to use (5S, SMED...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2025 |
Institución: | Universidad de Lima |
Repositorio: | Revistas - Universidad de Lima |
Lenguaje: | español |
OAI Identifier: | oai:revistas.ulima.edu.pe:article/7755 |
Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/7755 |
Nivel de acceso: | acceso abierto |
Materia: | returns lean manufacturing 5S SMED kaizen devoluciones |
Sumario: | The research seeks to apply lean manufacturing tools to reduce returns of wrong orders, the main problem that affects the company under study, which is a pharmaceutical company. For which it will begin by developing a value stream mapping that determines the waste and the Lean tools to use (5S, SMED and Kaizen). Data analysis was done using inferential statistical techniques, with the objective of testing the proposed hypotheses. For this, an evaluation was carried out to measure reliability and normality. After the application of various improvement tools, each result obtained from January to December 2023 was evaluated. The final result was that the percentage of returns of incorrect orders decreased from 14 % to 7 %. It was concluded that the adoption of Lean tools generated significant advantages for the company, ranging from the detection of inefficiencies, standardization to continuous improvement. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).