Lean Logistics model to reduce delivery times in a Retail in southern Peru
Descripción del Articulo
The Retail sector has increased steadily internationally and this is reflected in the 5.7% growth in the top 250 global Retail companies which have benefited from the implementation and positioning of E-Commerce. In the Peruvian market is estimated that the Retail sector will grow by 4% this year an...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de Publicación: | 2022 |
| Institución: | Universidad Peruana de Ciencias Aplicadas |
| Repositorio: | UPC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/660271 |
| Enlace del recurso: | http://hdl.handle.net/10757/660271 |
| Nivel de acceso: | acceso embargado |
| Materia: | Bar Code Center of Gravity method with shorter travel distance Cross-Docking Home Appliances and Home Furniture Retail Sector Hub Implementation |
| Sumario: | The Retail sector has increased steadily internationally and this is reflected in the 5.7% growth in the top 250 global Retail companies which have benefited from the implementation and positioning of E-Commerce. In the Peruvian market is estimated that the Retail sector will grow by 4% this year and the increase in demand showed difficulties in distribution, causing the long delivery times of orders as a problem. For this reason, the proposal developed a distribution and transport model applying Lean Logistics, with a Cross-Docking system, and for the registration and tracking of orders the Bar Code Poka Yoke, with the aim of increasing the service level to 92% order delivery, reducing the time for Store Pickups by 48.71%. The effectiveness of the model was corroborated through a simulation that allows the company to be competitive in the market. |
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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).