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...

Descripción completa

Detalles Bibliográficos
Autores: Francia Barba, Mariafe Olenka, Rosales Espinoza, Erick Linder
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
Descripción
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.
Nota importante:
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).