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...

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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.
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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
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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
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