dc.contributor.author | García García-Verdier, Tomás | |
dc.contributor.author | Gutiérrez, Gloria | |
dc.contributor.author | Méndez, Carlos A. | |
dc.contributor.author | Palacín, Carlos G. | |
dc.contributor.author | de Prada, César | |
dc.date.accessioned | 2024-01-25T19:37:14Z | |
dc.date.available | 2024-01-25T19:37:14Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Journal of Process Control, vol 133, p.1-16 | es |
dc.identifier.issn | 0168-3659 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/65055 | |
dc.description | Producción Científica | es |
dc.description.abstract | This paper focuses on the problem of crude oil operations scheduling carried out in a system composed of a
refinery and a marine terminal, considering uncertainty in the arrival date of the ships that supply the crudes.
To tackle this problem, we develop a two-stage stochastic mixed-integer nonlinear programming (MINLP)
model based on continuous-time representation. Furthermore, we extend the proposed model to include risk
management by considering the Conditional Value-at-Risk (CVaR) measure as the objective function, and we
analyze the solutions obtained for different risk levels. Finally, to evaluate the solution obtained, we calculate
the Expected Value of Perfect Information (EVPI) and the Value of the Stochastic Solution (VSS) to assess
whether two-stage stochastic programming model offers any advantage over simpler deterministic approaches. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Stochastic optimization, Continuous-time representation, Crude oil scheduling, Uncertain oil supply, Conditional Value-at-Risk | es |
dc.title | Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | doi.org/10.1007/s11081-019-09446-1 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/journal-of-process-control/about/editorial-board | es |
dc.identifier.publicationfirstpage | 1 | es |
dc.identifier.publicationissue | 133 | es |
dc.identifier.publicationlastpage | 16 | es |
dc.identifier.publicationtitle | Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management | es |
dc.identifier.publicationvolume | 133 | es |
dc.peerreviewed | SI | es |
dc.description.project | Este trabajo forma parte de los proyectos: a-CIDiT (PID2021-123654OB-C31) and InCo4In (PGC 2018- 099312-B-C31), and from European Social Fund. Furthermore, this work was supported by the Regional Government of Castilla y León and the EU-FEDER (CLU 2017-09, CL-EI-2021-07, UIC 233). | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |