Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/32566 |
Resumo: | We consider an inventory routing problem in which a single vehicle is responsible for the transport of a commodity from a set of supply locations to a set of demand locations. At each location the inventory must be kept within predefined bounds, and the location specific supply and demand rates are constant throughout the time horizon. Each location can be visited several times during the time horizon, and the vehicle can visit the locations in any order as long as the capacity of the vehicle is not exceeded. Two models are presented, each defined on a different extended network. In a location-event model, the nodes are indexed by the location and the number of visits made so far to that location, while in a vehicle-event model the nodes are indexed by the location and the number of visits so far on the vehicle route. Both models are based on continuous time formulations. They are tightened with valid inequalities, and a new branching algorithm is designed to speed up the solution time of the models. Computational tests based on a set of maritime transportation instances are reported to compare both models and the corresponding tightened variants. |
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Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveriesInventoryRoutingStrong formulationsValid inequalitiesWe consider an inventory routing problem in which a single vehicle is responsible for the transport of a commodity from a set of supply locations to a set of demand locations. At each location the inventory must be kept within predefined bounds, and the location specific supply and demand rates are constant throughout the time horizon. Each location can be visited several times during the time horizon, and the vehicle can visit the locations in any order as long as the capacity of the vehicle is not exceeded. Two models are presented, each defined on a different extended network. In a location-event model, the nodes are indexed by the location and the number of visits made so far to that location, while in a vehicle-event model the nodes are indexed by the location and the number of visits so far on the vehicle route. Both models are based on continuous time formulations. They are tightened with valid inequalities, and a new branching algorithm is designed to speed up the solution time of the models. Computational tests based on a set of maritime transportation instances are reported to compare both models and the corresponding tightened variants.Elsevier2024-02-16T00:00:00Z2022-02-16T00:00:00Z2022-02-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/32566eng0377-221710.1016/j.ejor.2021.04.027Agra, AgostinhoChristiansen, MarielleWolsey, Laurenceinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:02:39Zoai:ria.ua.pt:10773/32566Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:04:09.664398Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
title |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
spellingShingle |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries Agra, Agostinho Inventory Routing Strong formulations Valid inequalities |
title_short |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
title_full |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
title_fullStr |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
title_full_unstemmed |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
title_sort |
Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries |
author |
Agra, Agostinho |
author_facet |
Agra, Agostinho Christiansen, Marielle Wolsey, Laurence |
author_role |
author |
author2 |
Christiansen, Marielle Wolsey, Laurence |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Agra, Agostinho Christiansen, Marielle Wolsey, Laurence |
dc.subject.por.fl_str_mv |
Inventory Routing Strong formulations Valid inequalities |
topic |
Inventory Routing Strong formulations Valid inequalities |
description |
We consider an inventory routing problem in which a single vehicle is responsible for the transport of a commodity from a set of supply locations to a set of demand locations. At each location the inventory must be kept within predefined bounds, and the location specific supply and demand rates are constant throughout the time horizon. Each location can be visited several times during the time horizon, and the vehicle can visit the locations in any order as long as the capacity of the vehicle is not exceeded. Two models are presented, each defined on a different extended network. In a location-event model, the nodes are indexed by the location and the number of visits made so far to that location, while in a vehicle-event model the nodes are indexed by the location and the number of visits so far on the vehicle route. Both models are based on continuous time formulations. They are tightened with valid inequalities, and a new branching algorithm is designed to speed up the solution time of the models. Computational tests based on a set of maritime transportation instances are reported to compare both models and the corresponding tightened variants. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-16T00:00:00Z 2022-02-16 2024-02-16T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/32566 |
url |
http://hdl.handle.net/10773/32566 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0377-2217 10.1016/j.ejor.2021.04.027 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137697272430592 |