2026-04-27T13:50:23Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/636712025-03-10T09:12:55Zcom_10324_1168com_10324_931com_10324_894col_10324_1302
García García-Verdier, Tomás Jorge
Gutiérrez Rodríguez, Gloria
Ménde, Carlos A
Gómez Palacin, Carlos
Prada Moraga, César de
2023-12-18T08:54:41Z
2023-12-18T08:54:41Z
2024
Journal of Process Control, 2024, vol.133, 103142
0959-1524
https://uvadoc.uva.es/handle/10324/63671
10.1016/j.jprocont.2023.103142
103142
Journal of Process Control
133
Producción Científica
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.
Gobierno de España - proyects a-CIDiT (PID2021-123654OB-C31) and InCo4In (PGC 2018-099312-B-C31)
Junta de Castilla y León - EU-FEDER (CLU 2017-09, CL-EI-2021-07, UIC 233)
application/pdf
eng
Elsevier
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
© 2023 The Authors
Atribución-NoComercial 4.0 Internacional
Procesos estocásticos
Petróleo
Stochastic optimization
Continuous-time representation
Crude oil scheduling
Uncertain oil supply
Conditional Value-at-Risk
3321.13 Diseño de Refinerías
Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://www.sciencedirect.com/science/article/pii/S0959152423002299?via%3Dihub
SI