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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  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
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