Discrete-event Simulation Guides Pipeline Logistics
- Autores
- Cafaro, Vanina; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- A discrete-event simulation technique, combined with optimization tools, permits easy management of real-world pipeline operations with low computational effort. Modeling to develop the technique used a non-traditional multi-server queuing system with a number of synchronized servers at every pipe-end and priority rules to decide which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, evaluated using several criteria. Part 1 of this series discusses a novel discrete event simulation system developed on “Arena” for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes connecting a single input station to several receiving terminals. Part 2 will conclude this discussion and apply its findings to management of a real-world multiproduct pipeline.
Fil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; Argentina - Materia
-
Multiproduct Pipeline
Short-Term Scheduling
Discrete-Event Simulation
Priority Rules - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12937
Ver los metadatos del registro completo
id |
CONICETDig_7e126d19ff99c5494e65978b1e2fdceb |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/12937 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Discrete-event Simulation Guides Pipeline LogisticsCafaro, VaninaCafaro, Diego CarlosMendez, Carlos AlbertoCerda, JaimeMultiproduct PipelineShort-Term SchedulingDiscrete-Event SimulationPriority Ruleshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A discrete-event simulation technique, combined with optimization tools, permits easy management of real-world pipeline operations with low computational effort. Modeling to develop the technique used a non-traditional multi-server queuing system with a number of synchronized servers at every pipe-end and priority rules to decide which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, evaluated using several criteria. Part 1 of this series discusses a novel discrete event simulation system developed on “Arena” for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes connecting a single input station to several receiving terminals. Part 2 will conclude this discussion and apply its findings to management of a real-world multiproduct pipeline.Fil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Litoral; 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); Argentina. Universidad Nacional del Litoral; 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); Argentina. Universidad Nacional del Litoral; ArgentinaFil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Litoral; ArgentinaPennWell Corporation2011-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12937Cafaro, Vanina; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Discrete-event Simulation Guides Pipeline Logistics; PennWell Corporation; Oil And Gas Journal; 109; 15; 8-2011; 98-1040030-1388enginfo:eu-repo/semantics/altIdentifier/url/http://www.ogj.com/articles/print/volume-109/issue-31/transportation/special-report-pipeline-report/multiproduct-operations-1-discrete-event-simulation.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:34:44Zoai:ri.conicet.gov.ar:11336/12937instacron: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:34982025-10-15 15:34:44.331CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Discrete-event Simulation Guides Pipeline Logistics |
title |
Discrete-event Simulation Guides Pipeline Logistics |
spellingShingle |
Discrete-event Simulation Guides Pipeline Logistics Cafaro, Vanina Multiproduct Pipeline Short-Term Scheduling Discrete-Event Simulation Priority Rules |
title_short |
Discrete-event Simulation Guides Pipeline Logistics |
title_full |
Discrete-event Simulation Guides Pipeline Logistics |
title_fullStr |
Discrete-event Simulation Guides Pipeline Logistics |
title_full_unstemmed |
Discrete-event Simulation Guides Pipeline Logistics |
title_sort |
Discrete-event Simulation Guides Pipeline Logistics |
dc.creator.none.fl_str_mv |
Cafaro, Vanina Cafaro, Diego Carlos Mendez, Carlos Alberto Cerda, Jaime |
author |
Cafaro, Vanina |
author_facet |
Cafaro, Vanina Cafaro, Diego Carlos Mendez, Carlos Alberto Cerda, Jaime |
author_role |
author |
author2 |
Cafaro, Diego Carlos Mendez, Carlos Alberto Cerda, Jaime |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Multiproduct Pipeline Short-Term Scheduling Discrete-Event Simulation Priority Rules |
topic |
Multiproduct Pipeline Short-Term Scheduling Discrete-Event Simulation Priority Rules |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
A discrete-event simulation technique, combined with optimization tools, permits easy management of real-world pipeline operations with low computational effort. Modeling to develop the technique used a non-traditional multi-server queuing system with a number of synchronized servers at every pipe-end and priority rules to decide which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, evaluated using several criteria. Part 1 of this series discusses a novel discrete event simulation system developed on “Arena” for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes connecting a single input station to several receiving terminals. Part 2 will conclude this discussion and apply its findings to management of a real-world multiproduct pipeline. Fil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; 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. Universidad Nacional del Litoral; Argentina |
description |
A discrete-event simulation technique, combined with optimization tools, permits easy management of real-world pipeline operations with low computational effort. Modeling to develop the technique used a non-traditional multi-server queuing system with a number of synchronized servers at every pipe-end and priority rules to decide which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, evaluated using several criteria. Part 1 of this series discusses a novel discrete event simulation system developed on “Arena” for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes connecting a single input station to several receiving terminals. Part 2 will conclude this discussion and apply its findings to management of a real-world multiproduct pipeline. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-08 |
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/11336/12937 Cafaro, Vanina; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Discrete-event Simulation Guides Pipeline Logistics; PennWell Corporation; Oil And Gas Journal; 109; 15; 8-2011; 98-104 0030-1388 |
url |
http://hdl.handle.net/11336/12937 |
identifier_str_mv |
Cafaro, Vanina; Cafaro, Diego Carlos; Mendez, Carlos Alberto; Cerda, Jaime; Discrete-event Simulation Guides Pipeline Logistics; PennWell Corporation; Oil And Gas Journal; 109; 15; 8-2011; 98-104 0030-1388 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.ogj.com/articles/print/volume-109/issue-31/transportation/special-report-pipeline-report/multiproduct-operations-1-discrete-event-simulation.html |
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 |
dc.publisher.none.fl_str_mv |
PennWell Corporation |
publisher.none.fl_str_mv |
PennWell Corporation |
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 |
_version_ |
1846083475225968640 |
score |
13.22299 |