Producción CyT
Artículo
Autoría
García-Verdier, Tomás García
;
Gutiérrez, Gloria
;
MENDEZ, CARLOS ALBERTO
;
Palacín, Carlos G.
;
de Prada, César
Fecha
2022
Editorial y Lugar de Edición
ELSEVIER
Revista
IFAC-PapersOnLine,
vol. 55
(pp. 809-814)
- ISSN 2405-8963
ELSEVIER
ELSEVIER
ISSN
2405-8963
Resumen
Información suministrada por el agente en
SIGEVA
This paper focuses on formulating and solving the optimization of crude oil operations scheduling carried out in a system composed of a refinery and a marine terminal. The main challenge lies in coordinating the decisions made at both facilities and, at the same time, dealing with the uncertainties inherent in this activity. To tackle this problem, we present a continuous-time mixed-integer non-linear programming (MINLP) formulation. Furthermore, uncertainty in the ship arrival times is conside...
This paper focuses on formulating and solving the optimization of crude oil operations scheduling carried out in a system composed of a refinery and a marine terminal. The main challenge lies in coordinating the decisions made at both facilities and, at the same time, dealing with the uncertainties inherent in this activity. To tackle this problem, we present a continuous-time mixed-integer non-linear programming (MINLP) formulation. Furthermore, uncertainty in the ship arrival times is considered through a two-stage stochastic programming approach. Finally, the Conditional Value-at-Risk (CVaR) risk measure is employed to weigh the risk of having high costs relative to the worst scenarios. In this way, the proposed model is capable of supporting the decision-making process under uncertainty in an integral way.
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Palabras Clave
Crude oil schedulingStochastic optimization