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dc.contributor.author
Rossit, Diego Gabriel
dc.contributor.author
Gonzalez, Mauro Ehulech
dc.contributor.author
Tohmé, Fernando Abel
dc.contributor.author
Frutos, Mariano
dc.date.available
2020-06-30T22:50:04Z
dc.date.issued
2020-03
dc.identifier.citation
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
dc.identifier.issn
1923-2926
dc.identifier.uri
http://hdl.handle.net/11336/108558
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Growing Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DECISION SUPPORT TOOLS
dc.subject
OIL INDUSTRY
dc.subject
UPSTREAM LOGISTICS
dc.subject
INLAND TRANSPORTATIONS
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Otras Ingenierías y Tecnologías
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Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Upstream logistic transport planning in the oil-industry: a case study
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-06-22T14:09:04Z
dc.identifier.eissn
1923-2934
dc.journal.volume
11
dc.journal.pagination
221-234
dc.journal.pais
Canadá
dc.journal.ciudad
Toronto
dc.description.fil
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
dc.description.fil
Fil: Gonzalez, Mauro Ehulech. Compañia de Minas Magri Sa.; Argentina
dc.description.fil
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
dc.description.fil
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
dc.journal.title
International Journal of Industrial Engineering Computations
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/ijiec/Vol11/Vol11No2.html
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.ijiec.2019.9.002
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_27.pdf
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