Improvement in Delivery Times Using Lean Manufacturing Tools in a SME the Beverage Sector in Peru
Descripción del Articulo
The non-alcoholic beverage industry, such as bottled water, is one of the largest industries in which the process is carried out at the lowest cost, but with the highest quality in the final product. This sector has a significant impact on the world economy, and consumption per person is constantly...
Autores: | , , |
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Formato: | objeto de conferencia |
Fecha de Publicación: | 2023 |
Institución: | Universidad de Lima |
Repositorio: | ULIMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/19373 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/19373 https://doi.org/10.3233/ATDE230097 |
Nivel de acceso: | acceso abierto |
Materia: | Entrega de mercancías Bebidas sin alcohol Agua Producción eficiente Delivery of goods Non-alcoholic beverages Water Lean manufacturing https://purl.org/pe-repo/ocde/ford#2.11.04 |
Sumario: | The non-alcoholic beverage industry, such as bottled water, is one of the largest industries in which the process is carried out at the lowest cost, but with the highest quality in the final product. This sector has a significant impact on the world economy, and consumption per person is constantly growing. This research focuses on the improvement of delivery times through Lean Manufacturing tools. The model makes use of tools such as 5S' to create and maintain a more efficient and productive space, improve overall equipment efficiency through Total Productive Maintenance, and optimize material and operator movements by eliminating unnecessary ones using Standard Work, from that were positive indicators for management. For the validation of our proposal, an integrating model of the pilot plans was carried out in order to corroborate the efficiency of the proposed tools using the Arena software. By validating the proposed model, it was possible to reduce the rate of products delivered out of time by 37.82%, increase the OEE of the machine by 16% and reduce cycle times. |
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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).