2026-04-23T21:11:07Zhttps://uvadoc.uva.es/oai/request

oai: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 2024 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. application/pdf https://uvadoc.uva.es/handle/10324/63671 eng Elsevier Procesos estocásticos Petróleo 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 TEXT UVaDOC. Repositorio Documental de la Universidad de Valladolid Hispana