Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy
The aim of this paper study the impact of class-based storage policy based on the optimal configuration of U-flow single command warehouses using a on an ABC product classification. For that purpose, the authors propose a non linear optimization model to minimize the expected travel distance of the...
- Autores:
-
Cardona, Luis F.
Rivera, Leonardo
Martínez, Héctor Jairo
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/11299
- Acceso en línea:
- http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450
http://hdl.handle.net/10784/11299
- Palabra clave:
- warehouse layout
warehouse design
storage policy
warehouse sizing problem
nonlinear programming
distribución de bodegas
diseño de almacenes
políticas de almacenamiento
optimización no lineal
- Rights
- License
- Copyright (c) 2016 Ingeniería y Ciencia | ing.cienc.
id |
REPOEAFIT2_8d8375ef0f6ff7759b04b8d13e85275b |
---|---|
oai_identifier_str |
oai:repository.eafit.edu.co:10784/11299 |
network_acronym_str |
REPOEAFIT2 |
network_name_str |
Repositorio EAFIT |
repository_id_str |
|
spelling |
2016-11-112017-04-03T16:10:28Z2016-11-222017-04-03T16:10:28Z2256-43141794–9165http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450http://hdl.handle.net/10784/1129910.17230/ingciencia.12.24.10The aim of this paper study the impact of class-based storage policy based on the optimal configuration of U-flow single command warehouses using a on an ABC product classification. For that purpose, the authors propose a non linear optimization model to minimize the expected travel distance of the warehouse and use analytical methods to solve it. The most important contribution is to provide a mathematical proof that regardless of the storage policy (It does not matter the specifics of the turnover pattern of the products), the optimal warehouse has a width that is the double of its length, and the pick and deposit point should be located in the middle of the width of the warehouse. In addition, authors perform a sensitivity analysis that indicates that the optimal solution is robust, meaning that a certain deviation from the optimum layout does not impose a significant penalty on the expected travel distance of the warehouse.Este artículo estudia el impacto de las políticas de alamacenamiento basadas en clases en el diseño de centros de distribución . Se asume una operación con una sola entrada y salida para los montacargas, los montacargas pueden transportar una unidad de carga al tiempo, y la política de almacenamiento es basada en la clasificación ABC de los productos. Se presenta un modelo de optimización no lineal para minimizar el valor esperado de la distancia por viaje del montacargas — un estimativo del costo de manejo de materiales — y se resuelve utilizando métodos analíticos. La contribución mas revelevante de este artículo es una demonstración matemática de que no independiente de la curva de distribución de la rotación de inventario de los productos, el diseño óptimo del centro de distribución es el mismo. Finalmente, el análisis de sensibilidad muestra que pequeñas desviaciones del desiño óptimo no afecta significativamente el costo de manejo de materiales.application/pdfengUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450Copyright (c) 2016 Ingeniería y Ciencia | ing.cienc.http://creativecommons.org/licenses/by/4.0Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia | ing.cienc.; Vol 12, No 24 (2016); 221-248Ingeniería y Ciencia | ing.cienc.; Vol 12, No 24 (2016); 221-248Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage PolicyUn modelo de optimización analítica para el diseño de centros de distribución baja políticas de alamacenamiento basadas en clasesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlepublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1warehouse layoutwarehouse designstorage policywarehouse sizing problemnonlinear programmingdistribución de bodegasdiseño de almacenespolíticas de almacenamientooptimización no linealCardona, Luis F.Rivera, LeonardoMartínez, Héctor JairoIngeniería y Ciencia1224221248ing.ciencTHUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/a8956bfd-f7b2-4b38-8745-b4d8d7696aac/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINALdocument (46).pdfdocument (46).pdfTexto completo PDFapplication/pdf1114333https://repository.eafit.edu.co/bitstreams/5bc89aa4-1862-4521-b2b2-76029951f939/download6f140e91aa260ccfb2ad509ed4df51ccMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/2386333a-283c-4919-8931-1d4c00d10674/downloadbe683a5ed60e1162505cf94475926245MD5310784/11299oai:repository.eafit.edu.co:10784/112992020-03-01 17:57:20.882open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
dc.title.spa.fl_str_mv |
Un modelo de optimización analítica para el diseño de centros de distribución baja políticas de alamacenamiento basadas en clases |
title |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
spellingShingle |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy warehouse layout warehouse design storage policy warehouse sizing problem nonlinear programming distribución de bodegas diseño de almacenes políticas de almacenamiento optimización no lineal |
title_short |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
title_full |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
title_fullStr |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
title_full_unstemmed |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
title_sort |
Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy |
dc.creator.fl_str_mv |
Cardona, Luis F. Rivera, Leonardo Martínez, Héctor Jairo |
dc.contributor.author.none.fl_str_mv |
Cardona, Luis F. Rivera, Leonardo Martínez, Héctor Jairo |
dc.subject.keyword.eng.fl_str_mv |
warehouse layout warehouse design storage policy warehouse sizing problem nonlinear programming |
topic |
warehouse layout warehouse design storage policy warehouse sizing problem nonlinear programming distribución de bodegas diseño de almacenes políticas de almacenamiento optimización no lineal |
dc.subject.keyword.spa.fl_str_mv |
distribución de bodegas diseño de almacenes políticas de almacenamiento optimización no lineal |
description |
The aim of this paper study the impact of class-based storage policy based on the optimal configuration of U-flow single command warehouses using a on an ABC product classification. For that purpose, the authors propose a non linear optimization model to minimize the expected travel distance of the warehouse and use analytical methods to solve it. The most important contribution is to provide a mathematical proof that regardless of the storage policy (It does not matter the specifics of the turnover pattern of the products), the optimal warehouse has a width that is the double of its length, and the pick and deposit point should be located in the middle of the width of the warehouse. In addition, authors perform a sensitivity analysis that indicates that the optimal solution is robust, meaning that a certain deviation from the optimum layout does not impose a significant penalty on the expected travel distance of the warehouse. |
publishDate |
2016 |
dc.date.issued.none.fl_str_mv |
2016-11-22 |
dc.date.available.none.fl_str_mv |
2017-04-03T16:10:28Z |
dc.date.accessioned.none.fl_str_mv |
2017-04-03T16:10:28Z |
dc.date.none.fl_str_mv |
2016-11-11 |
dc.type.eng.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion article publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2256-4314 1794–9165 |
dc.identifier.uri.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450 http://hdl.handle.net/10784/11299 |
dc.identifier.doi.none.fl_str_mv |
10.17230/ingciencia.12.24.10 |
identifier_str_mv |
2256-4314 1794–9165 10.17230/ingciencia.12.24.10 |
url |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450 http://hdl.handle.net/10784/11299 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3450 |
dc.rights.spa.fl_str_mv |
Copyright (c) 2016 Ingeniería y Ciencia | ing.cienc. http://creativecommons.org/licenses/by/4.0 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Copyright (c) 2016 Ingeniería y Ciencia | ing.cienc. http://creativecommons.org/licenses/by/4.0 Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.source.none.fl_str_mv |
instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
dc.source.eng.fl_str_mv |
Ingeniería y Ciencia | ing.cienc.; Vol 12, No 24 (2016); 221-248 |
dc.source.spa.fl_str_mv |
Ingeniería y Ciencia | ing.cienc.; Vol 12, No 24 (2016); 221-248 |
instname_str |
Universidad EAFIT |
institution |
Universidad EAFIT |
reponame_str |
Repositorio Institucional Universidad EAFIT |
collection |
Repositorio Institucional Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/a8956bfd-f7b2-4b38-8745-b4d8d7696aac/download https://repository.eafit.edu.co/bitstreams/5bc89aa4-1862-4521-b2b2-76029951f939/download https://repository.eafit.edu.co/bitstreams/2386333a-283c-4919-8931-1d4c00d10674/download |
bitstream.checksum.fl_str_mv |
da9b21a5c7e00c7f1127cef8e97035e0 6f140e91aa260ccfb2ad509ed4df51cc be683a5ed60e1162505cf94475926245 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110570027155456 |