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Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach

2021Contribution to journal Open access
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dc.contributor.authorLima, C.
dc.contributor.authorRelvas, S.
dc.contributor.authorBarbosa-Póvoa, A.P.
dc.date.accessioned2025-07-22T14:27:01Z
dc.date.available2025-07-22T14:27:01Z
dc.date.issued2021
dc.description.abstractThis paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems.eng
dc.identifier.citationLima, C., Relvas, S., & Barbosa-Póvoa, A. (2021). Projetando e planejando a cadeia de suprimento de petróleo downstream sob incerteza usando uma abordagem de programação fuzzy. Computadores e Engenharia Química , 151 , 107373.
dc.identifier.doidoi.org/10.1016/j.compchemeng.2021.107
dc.identifier.urihttp://hdl.handle.net/10400.26/58152
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsivier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0098135421001514
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectStrategic and tactical planning
dc.subjectDownstream oil supply chain
dc.subjectOptimization
dc.subjectFuzzy programming
dc.subjectUncertainty
dc.titleDesigning and planning the downstream oil supply chain under uncertainty using a fuzzy programming approacheng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.titleComputers & Chemical Engineering
oaire.citation.volume151
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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