Correlated storage assignment approach in warehouses: A systematic literature review

Purpose: Correlation-based storage assignment approach has been intensively explored during the last three decades to improve the order picking efficiency. The purpose of this study is to present a comprehensive assessment of the literature about the state-of-the-art techniques used to solve correla...

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Detalles Bibliográficos
Autores: Islam, Saiful, Uddin, Kutub
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/395175
Acceso en línea:https://hdl.handle.net/2117/395175
https://dx.doi.org/10.3926/jiem.4850
Access Level:acceso abierto
Palabra clave:Warehouses -- Management
Correlated storage location assignment problem
CSLAP
Storage policy
Order picking
Warehouse management
Systematic literature review
Magatzems -- Direcció i administració
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
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spelling Correlated storage assignment approach in warehouses: A systematic literature reviewIslam, SaifulUddin, KutubWarehouses -- ManagementCorrelated storage location assignment problemCSLAPStorage policyOrder pickingWarehouse managementSystematic literature reviewMagatzems -- Direcció i administracióÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacionsPurpose: Correlation-based storage assignment approach has been intensively explored during the last three decades to improve the order picking efficiency. The purpose of this study is to present a comprehensive assessment of the literature about the state-of-the-art techniques used to solve correlated storage location assignment problems (CSLAP). Design/methodology/approach: A systematic literature review has been carried out based on content analysis to identify, select, analyze, and critically summarize all the studies available on CSLAP. This study begins with the selection of relevant keywords, and narrowing down the selected papers based on various criteria. Findings: Most correlated storage assignment problems are expressed as NP-hard integer programming models. The studies have revealed that CSLAP is evaluated with many approaches. The solution methods can be mainly categorized into heuristic approach, meta-heuristic approach, and data mining approach. With the advancement of computing power, researchers have taken up the challenge of solving more complex storage assignment problems. Furthermore, applications of the models developed are being tested on actual industry data to comprehend the efficiency of the models. Practical implications: The content of this article can be used as a guide to help practitioners and researchers to become adequately knowledgeable on CSLAP for their future work. Originality/value: Since there has been no recent state-of-the-art evaluation of CSLAP, this paper fills that need by systematizing and unifying recent work and identifying future research scopesPeer ReviewedOmniaScience20232023-09-0120232023-10-20journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/395175https://dx.doi.org/10.3926/jiem.4850reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3951752026-05-27T15:37:01Z
dc.title.none.fl_str_mv Correlated storage assignment approach in warehouses: A systematic literature review
title Correlated storage assignment approach in warehouses: A systematic literature review
spellingShingle Correlated storage assignment approach in warehouses: A systematic literature review
Islam, Saiful
Warehouses -- Management
Correlated storage location assignment problem
CSLAP
Storage policy
Order picking
Warehouse management
Systematic literature review
Magatzems -- Direcció i administració
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
title_short Correlated storage assignment approach in warehouses: A systematic literature review
title_full Correlated storage assignment approach in warehouses: A systematic literature review
title_fullStr Correlated storage assignment approach in warehouses: A systematic literature review
title_full_unstemmed Correlated storage assignment approach in warehouses: A systematic literature review
title_sort Correlated storage assignment approach in warehouses: A systematic literature review
dc.creator.none.fl_str_mv Islam, Saiful
Uddin, Kutub
author Islam, Saiful
author_facet Islam, Saiful
Uddin, Kutub
author_role author
author2 Uddin, Kutub
author2_role author
dc.subject.none.fl_str_mv Warehouses -- Management
Correlated storage location assignment problem
CSLAP
Storage policy
Order picking
Warehouse management
Systematic literature review
Magatzems -- Direcció i administració
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
topic Warehouses -- Management
Correlated storage location assignment problem
CSLAP
Storage policy
Order picking
Warehouse management
Systematic literature review
Magatzems -- Direcció i administració
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
description Purpose: Correlation-based storage assignment approach has been intensively explored during the last three decades to improve the order picking efficiency. The purpose of this study is to present a comprehensive assessment of the literature about the state-of-the-art techniques used to solve correlated storage location assignment problems (CSLAP). Design/methodology/approach: A systematic literature review has been carried out based on content analysis to identify, select, analyze, and critically summarize all the studies available on CSLAP. This study begins with the selection of relevant keywords, and narrowing down the selected papers based on various criteria. Findings: Most correlated storage assignment problems are expressed as NP-hard integer programming models. The studies have revealed that CSLAP is evaluated with many approaches. The solution methods can be mainly categorized into heuristic approach, meta-heuristic approach, and data mining approach. With the advancement of computing power, researchers have taken up the challenge of solving more complex storage assignment problems. Furthermore, applications of the models developed are being tested on actual industry data to comprehend the efficiency of the models. Practical implications: The content of this article can be used as a guide to help practitioners and researchers to become adequately knowledgeable on CSLAP for their future work. Originality/value: Since there has been no recent state-of-the-art evaluation of CSLAP, this paper fills that need by systematizing and unifying recent work and identifying future research scopes
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-09-01
2023
2023-10-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/395175
https://dx.doi.org/10.3926/jiem.4850
url https://hdl.handle.net/2117/395175
https://dx.doi.org/10.3926/jiem.4850
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

https://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv OmniaScience
publisher.none.fl_str_mv OmniaScience
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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