Logistics Management Model to reduce non-conforming orders through Lean Warehouse and JIT: A case of study in textile SMEs in Peru

Jose Coronel-Vasquez, Dhara Huamani-Lara, Alberto Flores-Perez, Martin Collao-Diaz, Juan Quiroz-Flores

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

The textile sector has a large share in the Peruvian manufacturing industry, dominated by SMEs. However, the segment has been facing a slowdown in growth, intensified by the partial inoperability of commercial enterprises. Under this scenario, there is a need to improve its competitiveness by optimizing the material supply process, as this is the stage that generates a large number of non-conforming orders and delays in the entry of production. Therefore, an optimize model using Just-In-Time and Lean Warehouse has been proposed to reduce backorders, shorten delivery times and minimize the input of defective materials. Along with 5S methodology to organize the warehouse and supplier assessment, ensured a long lasting solution. After the simulation made by the software Arena with the proposed model, it was possible to reduce the number of non-optimal orders by 55% and increase process efficiency by 5.97% by reducing procurement lead time. Furthermore, it represents a reduction in the purchasing cost of 40.55%.

Idioma originalInglés estadounidense
Título de la publicación alojada2022 9th International Conference on Industrial Engineering and Applications (Europe), ICIEA 2022-Europe
EditorialAssociation for Computing Machinery
Páginas19-24
-6
ISBN (versión digital)9781450396059
DOI
EstadoIndizado - 12 ene. 2022
Publicado de forma externa
Evento9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe - Barcelona, Espana
Duración: 12 ene. 202214 ene. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe
País/TerritorioEspana
CiudadBarcelona
Período12/01/2214/01/22

Nota bibliográfica

Publisher Copyright:
© 2022 ACM.

Huella

Profundice en los temas de investigación de 'Logistics Management Model to reduce non-conforming orders through Lean Warehouse and JIT: A case of study in textile SMEs in Peru'. En conjunto forman una huella única.

Citar esto