Optimization of urban distribution centres: a multi-stage dynamic location approach

Customer demand is dynamic and changeable; thus, optimality of the enterprise’s initial location cannot be guaranteed throughout the planning period in order to minimize site selection cost and maximize service reliability in the whole operation cycle. The enterprise planning period is divided into...

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Detalles Bibliográficos
Autores: Yan, Liying, Grifoll Colls, Manel|||0000-0003-4260-6732, Feng, Hongxiang, Zheng, Pengjun, Zhou, Chunliang
Tipo de recurso: artículo
Fecha de publicación:2022
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:2117/365759
Acceso en línea:https://hdl.handle.net/2117/365759
https://dx.doi.org/10.3390/su14074135
Access Level:acceso abierto
Palabra clave:Electric lines
Electric power distribution
Distribution centre
Dynamic location
City logistics
Shortest path
Línies elèctriques
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica
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oai_identifier_str oai:upcommons.upc.edu:2117/365759
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spelling Optimization of urban distribution centres: a multi-stage dynamic location approachYan, LiyingGrifoll Colls, Manel|||0000-0003-4260-6732Feng, HongxiangZheng, PengjunZhou, ChunliangElectric linesElectric power distributionDistribution centreDynamic locationCity logisticsShortest pathLínies elèctriquesEnergia elèctrica--DistribucióÀrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctricaCustomer demand is dynamic and changeable; thus, optimality of the enterprise’s initial location cannot be guaranteed throughout the planning period in order to minimize site selection cost and maximize service reliability in the whole operation cycle. The enterprise planning period is divided into different stages, and a static location model is established at the fixed stage. In addition, a multi-stage dynamic location model is established by introducing the transfer cost between adjacent stages. To reduce the difficulty of solving the dynamic location model, first, we determined the optimal site selection and allocation strategy for each stage. Second, we designed a novel method that transforms the multi-stage dynamic location problem into the shortest path problem in graph theory. Finally, the Dijkstra algorithm was used to find the optimal dynamic location sequence so that its cumulative cost was the lowest in the whole planning period. Through a case study in China, we compare the costs of static and dynamic locations and the location cost under different objectives. The results show that this dynamic location generates more income (as it reduces cost) in comparison to the previous static location, and different location objectives have a substantial influence on location results. At the same time, the findings indicate that exploring the problem of enterprise location from a dynamic perspective could help reduce the operating cost and resources from a sustainable development perspective.</jats:p>Multidisciplinary Digital Publishing Institute (MDPI)20222022-03-3020222022-04-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/365759https://dx.doi.org/10.3390/su14074135reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3657592026-05-27T15:37:01Z
dc.title.none.fl_str_mv Optimization of urban distribution centres: a multi-stage dynamic location approach
title Optimization of urban distribution centres: a multi-stage dynamic location approach
spellingShingle Optimization of urban distribution centres: a multi-stage dynamic location approach
Yan, Liying
Electric lines
Electric power distribution
Distribution centre
Dynamic location
City logistics
Shortest path
Línies elèctriques
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica
title_short Optimization of urban distribution centres: a multi-stage dynamic location approach
title_full Optimization of urban distribution centres: a multi-stage dynamic location approach
title_fullStr Optimization of urban distribution centres: a multi-stage dynamic location approach
title_full_unstemmed Optimization of urban distribution centres: a multi-stage dynamic location approach
title_sort Optimization of urban distribution centres: a multi-stage dynamic location approach
dc.creator.none.fl_str_mv Yan, Liying
Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
Zheng, Pengjun
Zhou, Chunliang
author Yan, Liying
author_facet Yan, Liying
Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
Zheng, Pengjun
Zhou, Chunliang
author_role author
author2 Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
Zheng, Pengjun
Zhou, Chunliang
author2_role author
author
author
author
dc.subject.none.fl_str_mv Electric lines
Electric power distribution
Distribution centre
Dynamic location
City logistics
Shortest path
Línies elèctriques
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica
topic Electric lines
Electric power distribution
Distribution centre
Dynamic location
City logistics
Shortest path
Línies elèctriques
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica
description Customer demand is dynamic and changeable; thus, optimality of the enterprise’s initial location cannot be guaranteed throughout the planning period in order to minimize site selection cost and maximize service reliability in the whole operation cycle. The enterprise planning period is divided into different stages, and a static location model is established at the fixed stage. In addition, a multi-stage dynamic location model is established by introducing the transfer cost between adjacent stages. To reduce the difficulty of solving the dynamic location model, first, we determined the optimal site selection and allocation strategy for each stage. Second, we designed a novel method that transforms the multi-stage dynamic location problem into the shortest path problem in graph theory. Finally, the Dijkstra algorithm was used to find the optimal dynamic location sequence so that its cumulative cost was the lowest in the whole planning period. Through a case study in China, we compare the costs of static and dynamic locations and the location cost under different objectives. The results show that this dynamic location generates more income (as it reduces cost) in comparison to the previous static location, and different location objectives have a substantial influence on location results. At the same time, the findings indicate that exploring the problem of enterprise location from a dynamic perspective could help reduce the operating cost and resources from a sustainable development perspective.</jats:p>
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-30
2022
2022-04-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/365759
https://dx.doi.org/10.3390/su14074135
url https://hdl.handle.net/2117/365759
https://dx.doi.org/10.3390/su14074135
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
Attribution 4.0 International
https://creativecommons.org/licenses/by/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
Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
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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