Production model based on lean manufacturing tools to reduce delivery times in a small manufacturing enterprise
Descripción del Articulo
The foam furniture paint industry, belonging to the manufacturing sector, has experienced a decline in recent years due to the COVID-19 pandemic. This situation has negatively impacted production capacity and has generated significant challenges. Among them, reprocessing has occurred due to undesire...
Autores: | , |
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Formato: | tesis de grado |
Fecha de Publicación: | 2025 |
Institución: | Universidad de Lima |
Repositorio: | ULIMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/23148 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/23148 |
Nivel de acceso: | acceso abierto |
Materia: | Pendiente https://purl.org/pe-repo/ocde/ford#2.11.04 |
Sumario: | The foam furniture paint industry, belonging to the manufacturing sector, has experienced a decline in recent years due to the COVID-19 pandemic. This situation has negatively impacted production capacity and has generated significant challenges. Among them, reprocessing has occurred due to undesired tones in the paints, the presence of residues in the machines, as well as errors in machinery programming and delays in the start of production. These factors have hindered the manufacturing sector from reaching its pre-crisis economic level. Consequently, delays in the delivery of the final product arise, leading to economic losses for the companies, which hinder their development. To address these issues and thereby reduce product delivery times, the production improvement model based on Lean Manufacturing tools is proposed. The model consists of tools such as 5S, Poka-Yoke, and standardized work. The model was validated through the implementation of pilot tests and simulation using Arena software. |
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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).