A maritime inventory routing problem with stochastic sailing and port times

Detalhes bibliográficos
Autor(a) principal: Agra, Agostinho
Data de Publicação: 2015
Outros Autores: Christiansen, Marielle, Delgado, Alexandrino, Hvattum, Lars Magnus
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10773/15319
Resumo: This paper describes a stochastic short sea shipping problem where a company is responsible for both the distribution of oil products between islands and the inventory management of those products at consumption storage tanks located at ports. In general, ship routing and scheduling is associated with uncertainty in weather conditions and unpredictable waiting times at ports. In this work, both sailing times and port times are considered to be stochastic parameters. A two-stage stochastic programming model with recourse is presented where the first stage consists of routing, loading and unloading decisions, and the second stage consists of scheduling and inventory decisions. The model is solved using a decomposition approach similar to an L-shaped algorithm where optimality cuts are added dynamically, and this solution process is embedded within the sample average approximation method. A computational study based on real-world instances is presented.
id RCAP_1d959c6f536af02ee921eb822f872225
oai_identifier_str oai:ria.ua.pt:10773/15319
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A maritime inventory routing problem with stochastic sailing and port timesStochastic programmingMaritime transportationInventory routingUncertaintyL-shaped methodSample average approximationTravel timeService timeThis paper describes a stochastic short sea shipping problem where a company is responsible for both the distribution of oil products between islands and the inventory management of those products at consumption storage tanks located at ports. In general, ship routing and scheduling is associated with uncertainty in weather conditions and unpredictable waiting times at ports. In this work, both sailing times and port times are considered to be stochastic parameters. A two-stage stochastic programming model with recourse is presented where the first stage consists of routing, loading and unloading decisions, and the second stage consists of scheduling and inventory decisions. The model is solved using a decomposition approach similar to an L-shaped algorithm where optimality cuts are added dynamically, and this solution process is embedded within the sample average approximation method. A computational study based on real-world instances is presented.Elsevier2016-03-17T11:05:14Z2015-09-01T00:00:00Z2015-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10773/15319eng0305-054810.1016/j.cor.2015.01.008Agra, AgostinhoChristiansen, MarielleDelgado, AlexandrinoHvattum, Lars Magnusinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T03:56:17Zoai:ria.ua.pt:10773/15319Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:51:34.073505Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A maritime inventory routing problem with stochastic sailing and port times
title A maritime inventory routing problem with stochastic sailing and port times
spellingShingle A maritime inventory routing problem with stochastic sailing and port times
Agra, Agostinho
Stochastic programming
Maritime transportation
Inventory routing
Uncertainty
L-shaped method
Sample average approximation
Travel time
Service time
title_short A maritime inventory routing problem with stochastic sailing and port times
title_full A maritime inventory routing problem with stochastic sailing and port times
title_fullStr A maritime inventory routing problem with stochastic sailing and port times
title_full_unstemmed A maritime inventory routing problem with stochastic sailing and port times
title_sort A maritime inventory routing problem with stochastic sailing and port times
author Agra, Agostinho
author_facet Agra, Agostinho
Christiansen, Marielle
Delgado, Alexandrino
Hvattum, Lars Magnus
author_role author
author2 Christiansen, Marielle
Delgado, Alexandrino
Hvattum, Lars Magnus
author2_role author
author
author
dc.contributor.author.fl_str_mv Agra, Agostinho
Christiansen, Marielle
Delgado, Alexandrino
Hvattum, Lars Magnus
dc.subject.por.fl_str_mv Stochastic programming
Maritime transportation
Inventory routing
Uncertainty
L-shaped method
Sample average approximation
Travel time
Service time
topic Stochastic programming
Maritime transportation
Inventory routing
Uncertainty
L-shaped method
Sample average approximation
Travel time
Service time
description This paper describes a stochastic short sea shipping problem where a company is responsible for both the distribution of oil products between islands and the inventory management of those products at consumption storage tanks located at ports. In general, ship routing and scheduling is associated with uncertainty in weather conditions and unpredictable waiting times at ports. In this work, both sailing times and port times are considered to be stochastic parameters. A two-stage stochastic programming model with recourse is presented where the first stage consists of routing, loading and unloading decisions, and the second stage consists of scheduling and inventory decisions. The model is solved using a decomposition approach similar to an L-shaped algorithm where optimality cuts are added dynamically, and this solution process is embedded within the sample average approximation method. A computational study based on real-world instances is presented.
publishDate 2015
dc.date.none.fl_str_mv 2015-09-01T00:00:00Z
2015-09
2016-03-17T11:05:14Z
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/10773/15319
url http://hdl.handle.net/10773/15319
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0305-0548
10.1016/j.cor.2015.01.008
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833594137154158592

Registros relacionados