Managing distribution in refined products pipelines using discrete-event simulation

Autores
Gleizes, Fernanda; Herrero, German; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to schedule pipeline operations in a reliable and cost-effective manner. This work presents a novel discrete event simulation system for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connects a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe end that perform their tasks in a synchronized manner. By using alternative priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Also, the model deals with the timely fulfillment of terminal demands and the system response to unexpected events. In combination with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.
Fil: Gleizes, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Herrero, German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Materia
Discrete-Event Simulation
Pipeline
Delivery Schedule
Petroleum Supply Chain
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/10898
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Managing distribution in refined products pipelines using discrete-event simulationGleizes, FernandaHerrero, GermanCafaro, Diego CarlosMendez, Carlos AlbertoCerda, JaimeDiscrete-Event SimulationPipelineDelivery SchedulePetroleum Supply Chainhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to schedule pipeline operations in a reliable and cost-effective manner. This work presents a novel discrete event simulation system for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connects a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe end that perform their tasks in a synchronized manner. By using alternative priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Also, the model deals with the timely fulfillment of terminal demands and the system response to unexpected events. In combination with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.Fil: Gleizes, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Herrero, German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaIGI GLOBAL2012-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10898Gleizes, Fernanda; Herrero, German; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Managing distribution in refined products pipelines using discrete-event simulation; IGI GLOBAL; International Journal of Information Systems & Supply Chain Management; 5; 4-2012; 58-791935-5726enginfo:eu-repo/semantics/altIdentifier/url/http://www.igi-global.com/article/managing-distribution-refined-products-pipelines/62053info:eu-repo/semantics/altIdentifier/doi/10.4018/jisscm.2012010104info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:58Zoai:ri.conicet.gov.ar:11336/10898instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:45:58.803CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Managing distribution in refined products pipelines using discrete-event simulation
title Managing distribution in refined products pipelines using discrete-event simulation
spellingShingle Managing distribution in refined products pipelines using discrete-event simulation
Gleizes, Fernanda
Discrete-Event Simulation
Pipeline
Delivery Schedule
Petroleum Supply Chain
title_short Managing distribution in refined products pipelines using discrete-event simulation
title_full Managing distribution in refined products pipelines using discrete-event simulation
title_fullStr Managing distribution in refined products pipelines using discrete-event simulation
title_full_unstemmed Managing distribution in refined products pipelines using discrete-event simulation
title_sort Managing distribution in refined products pipelines using discrete-event simulation
dc.creator.none.fl_str_mv Gleizes, Fernanda
Herrero, German
Cafaro, Diego Carlos
Mendez, Carlos Alberto
Cerda, Jaime
author Gleizes, Fernanda
author_facet Gleizes, Fernanda
Herrero, German
Cafaro, Diego Carlos
Mendez, Carlos Alberto
Cerda, Jaime
author_role author
author2 Herrero, German
Cafaro, Diego Carlos
Mendez, Carlos Alberto
Cerda, Jaime
author2_role author
author
author
author
dc.subject.none.fl_str_mv Discrete-Event Simulation
Pipeline
Delivery Schedule
Petroleum Supply Chain
topic Discrete-Event Simulation
Pipeline
Delivery Schedule
Petroleum Supply Chain
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to schedule pipeline operations in a reliable and cost-effective manner. This work presents a novel discrete event simulation system for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connects a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe end that perform their tasks in a synchronized manner. By using alternative priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Also, the model deals with the timely fulfillment of terminal demands and the system response to unexpected events. In combination with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.
Fil: Gleizes, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Herrero, German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
description The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to schedule pipeline operations in a reliable and cost-effective manner. This work presents a novel discrete event simulation system for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connects a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe end that perform their tasks in a synchronized manner. By using alternative priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Also, the model deals with the timely fulfillment of terminal demands and the system response to unexpected events. In combination with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.
publishDate 2012
dc.date.none.fl_str_mv 2012-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/10898
Gleizes, Fernanda; Herrero, German; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Managing distribution in refined products pipelines using discrete-event simulation; IGI GLOBAL; International Journal of Information Systems & Supply Chain Management; 5; 4-2012; 58-79
1935-5726
url http://hdl.handle.net/11336/10898
identifier_str_mv Gleizes, Fernanda; Herrero, German; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Managing distribution in refined products pipelines using discrete-event simulation; IGI GLOBAL; International Journal of Information Systems & Supply Chain Management; 5; 4-2012; 58-79
1935-5726
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.igi-global.com/article/managing-distribution-refined-products-pipelines/62053
info:eu-repo/semantics/altIdentifier/doi/10.4018/jisscm.2012010104
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IGI GLOBAL
publisher.none.fl_str_mv IGI GLOBAL
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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