Application of lean and TPM tools to improve OEE: a case study in peruvian metalworking SMES
Descripción del Articulo
The research in circumvention focused on systematic problems largely prevalent among small and medium sized metalworking enterprises (SMEs) in Peru which is an important area in terms of both employment growth and competitiveness. The existing literature pointed out to a number of structural variabi...
Autor: | |
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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:20.500.12724/22681 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/22681 |
Nivel de acceso: | acceso abierto |
Materia: | Producción eficiente Mantenimiento productivo total Industria metalmecánica Pequeñas y medianas empresas Proceso de mejora continua Estudio de casos https://purl.org/pe-repo/ocde/ford#2.11.04 |
Sumario: | The research in circumvention focused on systematic problems largely prevalent among small and medium sized metalworking enterprises (SMEs) in Peru which is an important area in terms of both employment growth and competitiveness. The existing literature pointed out to a number of structural variability as well as lack of sufficient quality inspections to have negative productivity effects. In this study, the aim was enhancement of Overall Equipment Effectiveness (OEE) using integrated production comprising Lean Manufacturing and Total Productive Maintenance (TPM). Among the fundamentals of the work were standardization of work, autonomous and preventive maintenance of equipment. Results showed OEE when measured on the first production model increased from 64.93% to 81.15% and for the second model it increased while cycle time decreased from 50.69 to 43.87 hours implying an improvement of 13.46 percent. This study is relevant to the field of operational management as it provides a functional model that improves the reliability of outputs and the efficiency of inputs. The results point to the need of sustaining improvement and involving employees. Future research should seek to assess the relevance of this model in other areas and include digital components to enhance predictive maintenance. |
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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).