Upstream logistic transport planning in the oil-industry: a case study

Autores
Rossit, Diego Gabriel; Gonzalez, Mauro Ehulech; Tohmé, Fernando Abel; Frutos, Mariano
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Nowadays, oil companies have to deal with an increasingly competitive environment. In this sense, the optimization of operational processes to enhance efficiency is crucial. This article addresses the design of a decision support tool for the inland upstream transport logistics in the oil industry based on a case of study in Argentina. This problem is traditionally difficult to solve for managers due to the large number of demand facilities scattered on a large geographic area that have to be served and the consideration of several operational requirements, such as maximum allowable travel times for vehicles, availability of a limited fleet size with a small number of drivers, plus the usual demand constraints as well as those arising from security risks derived from the incompatibility of chemical products. A novel mathematical formulation and a constructive heuristic are proposed in order to address this problem. The results allow to reduce the time that the company spends for obtaining a feasible distribution plan that minimizes the time horizon of the distribution schedule provided to the clients and enhances customer satisfaction.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Gonzalez, Mauro Ehulech. Compañia de Minas Magri Sa.; Argentina
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
DECISION SUPPORT TOOLS
OIL INDUSTRY
UPSTREAM LOGISTICS
INLAND TRANSPORTATIONS
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:11336/108558
Acceder
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spelling Upstream logistic transport planning in the oil-industry: a case studyRossit, Diego GabrielGonzalez, Mauro EhulechTohmé, Fernando AbelFrutos, MarianoDECISION SUPPORT TOOLSOIL INDUSTRYUPSTREAM LOGISTICSINLAND TRANSPORTATIONShttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Nowadays, oil companies have to deal with an increasingly competitive environment. In this sense, the optimization of operational processes to enhance efficiency is crucial. This article addresses the design of a decision support tool for the inland upstream transport logistics in the oil industry based on a case of study in Argentina. This problem is traditionally difficult to solve for managers due to the large number of demand facilities scattered on a large geographic area that have to be served and the consideration of several operational requirements, such as maximum allowable travel times for vehicles, availability of a limited fleet size with a small number of drivers, plus the usual demand constraints as well as those arising from security risks derived from the incompatibility of chemical products. A novel mathematical formulation and a constructive heuristic are proposed in order to address this problem. The results allow to reduce the time that the company spends for obtaining a feasible distribution plan that minimizes the time horizon of the distribution schedule provided to the clients and enhances customer satisfaction.Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaFil: Gonzalez, Mauro Ehulech. Compañia de Minas Magri Sa.; ArgentinaFil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaFil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaGrowing Science2020-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/108558Rossit, Diego Gabriel; Gonzalez, Mauro Ehulech; Tohmé, Fernando Abel; Frutos, Mariano; Upstream logistic transport planning in the oil-industry: a case study; Growing Science; International Journal of Industrial Engineering Computations; 11; 3-2020; 221-2341923-29261923-2934CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://growingscience.com/ijiec/Vol11/Vol11No2.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.5267/j.ijiec.2019.9.002info:eu-repo/semantics/altIdentifier/url/http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_27.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:18:56Zoai:ri.conicet.gov.ar:11336/108558instacron: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 15:18:57.043CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Upstream logistic transport planning in the oil-industry: a case study
title Upstream logistic transport planning in the oil-industry: a case study
spellingShingle Upstream logistic transport planning in the oil-industry: a case study
Rossit, Diego Gabriel
DECISION SUPPORT TOOLS
OIL INDUSTRY
UPSTREAM LOGISTICS
INLAND TRANSPORTATIONS
title_short Upstream logistic transport planning in the oil-industry: a case study
title_full Upstream logistic transport planning in the oil-industry: a case study
title_fullStr Upstream logistic transport planning in the oil-industry: a case study
title_full_unstemmed Upstream logistic transport planning in the oil-industry: a case study
title_sort Upstream logistic transport planning in the oil-industry: a case study
dc.creator.none.fl_str_mv Rossit, Diego Gabriel
Gonzalez, Mauro Ehulech
Tohmé, Fernando Abel
Frutos, Mariano
author Rossit, Diego Gabriel
author_facet Rossit, Diego Gabriel
Gonzalez, Mauro Ehulech
Tohmé, Fernando Abel
Frutos, Mariano
author_role author
author2 Gonzalez, Mauro Ehulech
Tohmé, Fernando Abel
Frutos, Mariano
author2_role author
author
author
dc.subject.none.fl_str_mv DECISION SUPPORT TOOLS
OIL INDUSTRY
UPSTREAM LOGISTICS
INLAND TRANSPORTATIONS
topic DECISION SUPPORT TOOLS
OIL INDUSTRY
UPSTREAM LOGISTICS
INLAND TRANSPORTATIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Nowadays, oil companies have to deal with an increasingly competitive environment. In this sense, the optimization of operational processes to enhance efficiency is crucial. This article addresses the design of a decision support tool for the inland upstream transport logistics in the oil industry based on a case of study in Argentina. This problem is traditionally difficult to solve for managers due to the large number of demand facilities scattered on a large geographic area that have to be served and the consideration of several operational requirements, such as maximum allowable travel times for vehicles, availability of a limited fleet size with a small number of drivers, plus the usual demand constraints as well as those arising from security risks derived from the incompatibility of chemical products. A novel mathematical formulation and a constructive heuristic are proposed in order to address this problem. The results allow to reduce the time that the company spends for obtaining a feasible distribution plan that minimizes the time horizon of the distribution schedule provided to the clients and enhances customer satisfaction.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Gonzalez, Mauro Ehulech. Compañia de Minas Magri Sa.; Argentina
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description Nowadays, oil companies have to deal with an increasingly competitive environment. In this sense, the optimization of operational processes to enhance efficiency is crucial. This article addresses the design of a decision support tool for the inland upstream transport logistics in the oil industry based on a case of study in Argentina. This problem is traditionally difficult to solve for managers due to the large number of demand facilities scattered on a large geographic area that have to be served and the consideration of several operational requirements, such as maximum allowable travel times for vehicles, availability of a limited fleet size with a small number of drivers, plus the usual demand constraints as well as those arising from security risks derived from the incompatibility of chemical products. A novel mathematical formulation and a constructive heuristic are proposed in order to address this problem. The results allow to reduce the time that the company spends for obtaining a feasible distribution plan that minimizes the time horizon of the distribution schedule provided to the clients and enhances customer satisfaction.
publishDate 2020
dc.date.none.fl_str_mv 2020-03
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/11336/108558
Rossit, Diego Gabriel; Gonzalez, Mauro Ehulech; Tohmé, Fernando Abel; Frutos, Mariano; Upstream logistic transport planning in the oil-industry: a case study; Growing Science; International Journal of Industrial Engineering Computations; 11; 3-2020; 221-234
1923-2926
1923-2934
CONICET Digital
CONICET
url http://hdl.handle.net/11336/108558
identifier_str_mv Rossit, Diego Gabriel; Gonzalez, Mauro Ehulech; Tohmé, Fernando Abel; Frutos, Mariano; Upstream logistic transport planning in the oil-industry: a case study; Growing Science; International Journal of Industrial Engineering Computations; 11; 3-2020; 221-234
1923-2926
1923-2934
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/ijiec/Vol11/Vol11No2.html
info:eu-repo/semantics/altIdentifier/doi/10.5267/j.ijiec.2019.9.002
info:eu-repo/semantics/altIdentifier/url/http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_27.pdf
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 Growing Science
publisher.none.fl_str_mv Growing Science
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 13.22299

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