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A graph modeling framework to design and plan the downstream oil supply chain

2022Artigo científico Acesso restrito
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dc.contributor.authorLima, Camilo
dc.contributor.authorRelvas, Susana
dc.contributor.authorBarbosa-Póvoa, Ana
dc.date.accessioned2025-11-20T10:49:59Z
dc.date.available2025-11-20T10:49:59Z
dc.date.issued2022
dc.description.abstractIn this paper, a deterministic mixed-integer linear programming (MILP) model is proposed aiming at designing and planning the downstream oil supply chain. The optimization model defines the strategic network design, and then determines its tactical distribution plan. A multimodal transportation network is considered in which road, maritime, rail, and pipeline resources may be chosen. The network structure is represented through a graph modeling approach, so the diverse network operations, for example, the exchange of products between warehouses, may be readily incorporated into the optimization model. A case study based on the Brazilian oil industry is explored and analyzed to check and demonstrate the adequacy of the MILP model to solve a real-world problem.eng
dc.identifier.citationLima, C., Relvas, S., & Barbosa‐Póvoa, A. (2022). A graph modeling framework to design and plan the downstream oil supply chain. International transactions in operational research, 29(3), 1502-1519.
dc.identifier.doi10.1111/itor.12969
dc.identifier.urihttp://hdl.handle.net/10400.26/59880
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectgraph approach
dc.subjectoptimization
dc.subjectdesign
dc.subjectplanning
dc.subjectoil supply chain
dc.titleA graph modeling framework to design and plan the downstream oil supply chaineng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1519
oaire.citation.issue3
oaire.citation.startPage1502
oaire.citation.titleInternational transactions in operational research
oaire.citation.volume29
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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