Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies

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This article addresses one of the main problems faced by small- and medium-sized business in the non-metallic mining sector in Peru. These companies own warehouses and face the major problem of failing to deliver orders correctly and in a timely manner. This problem usually occurs when the business...

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Detalles Bibliográficos
Autores: Espinoza-Camino, P., Macassi-Jaurequi, I., Raymundo-Ibañez, C., Dominguez, F.
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656393
Enlace del recurso:http://hdl.handle.net/10757/656393
Nivel de acceso:acceso abierto
Materia:Warehouse management mode
FEFO
Mining companie
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dc.title.en_US.fl_str_mv Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
title Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
spellingShingle Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
Espinoza-Camino, P.
Warehouse management mode
FEFO
Mining companie
title_short Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
title_full Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
title_fullStr Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
title_full_unstemmed Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
title_sort Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies
author Espinoza-Camino, P.
author_facet Espinoza-Camino, P.
Macassi-Jaurequi, I.
Raymundo-Ibañez, C.
Dominguez, F.
author_role author
author2 Macassi-Jaurequi, I.
Raymundo-Ibañez, C.
Dominguez, F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Espinoza-Camino, P.
Macassi-Jaurequi, I.
Raymundo-Ibañez, C.
Dominguez, F.
dc.subject.en_US.fl_str_mv Warehouse management mode
FEFO
Mining companie
topic Warehouse management mode
FEFO
Mining companie
description This article addresses one of the main problems faced by small- and medium-sized business in the non-metallic mining sector in Peru. These companies own warehouses and face the major problem of failing to deliver orders correctly and in a timely manner. This problem usually occurs when the business grows from a small- to medium-sized company in a short span of time; this situation leads to new processes within warehouses that are mostly not standardized. Besides, facilities are no longer optimal in space and the workers are not properly trained. The case study shows that the orders were not delivered on time due to factors such as lack of product identification, although the products have an expiration date and a warehouse without signaling and surrounded by traffic. To tackle this situation, a labeling process has been designed for the products, an adequate distribution technique is used in the warehouse through a newly designed warehouse layout, and a First Expired, First Out system has been implemented. Similarly, the design is accompanied by the 5s tool to provide a basis for order and continuous improvement. The results show that deliveries with delays were reduced from 38% to 10%. These results show that companies can grow rapidly and maintain quality of service through orderly management.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-06-08T12:10:23Z
dc.date.available.none.fl_str_mv 2021-06-08T12:10:23Z
dc.date.issued.fl_str_mv 2020-04-06
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 17578981
dc.identifier.doi.none.fl_str_mv 10.1088/1757-899X/796/1/012012
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656393
dc.identifier.eissn.none.fl_str_mv 1757899X
dc.identifier.journal.en_US.fl_str_mv IOP Conference Series: Materials Science and Engineering
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dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://iopscience.iop.org/article/10.1088/1757-899X/796/1/012012/meta
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dc.format.en_US.fl_str_mv application/pdf
dc.publisher.en_US.fl_str_mv Institute of Physics Publishing
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
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dc.source.journaltitle.none.fl_str_mv IOP Conference Series: Materials Science and Engineering
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dc.source.issue.none.fl_str_mv 1
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Besides, facilities are no longer optimal in space and the workers are not properly trained. The case study shows that the orders were not delivered on time due to factors such as lack of product identification, although the products have an expiration date and a warehouse without signaling and surrounded by traffic. To tackle this situation, a labeling process has been designed for the products, an adequate distribution technique is used in the warehouse through a newly designed warehouse layout, and a First Expired, First Out system has been implemented. Similarly, the design is accompanied by the 5s tool to provide a basis for order and continuous improvement. The results show that deliveries with delays were reduced from 38% to 10%. 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