Science and Technology Production
Article
Authorship
Garcia-Verdier, Tomas Garcia
;
Gutierrez, Gloria
;
MENDEZ, CARLOS ALBERTO
;
de Prada, Cesar
Date
2023
Publishing House and Editing Place
ELSEVIER
Magazine
IFAC papers on line,
vol. 56
(pp. 7414-7419)
- ISSN 1474-6670
ELSEVIER
ELSEVIER
ISSN
1474-6670
Summary
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SIGEVA
This paper focuses on solving the optimization of crude oil operations scheduling carried out in a real system composed of a refinery and a marine terminal, over a monthly horizon. In the present article, we introduce a large-scale mixed-integer non-linear programming (MINLP) model that faithfully represents the operation and characteristics of the system. Considering the model´s complexity and its non-linear and non-convex nature, the challenge lies in solving the model in a time frame t...
This paper focuses on solving the optimization of crude oil operations scheduling carried out in a real system composed of a refinery and a marine terminal, over a monthly horizon. In the present article, we introduce a large-scale mixed-integer non-linear programming (MINLP) model that faithfully represents the operation and characteristics of the system. Considering the model´s complexity and its non-linear and non-convex nature, the challenge lies in solving the model in a time frame that meets the user´s needs. To tackle this problem, we develop a temporal decomposition method in conjunction with a linear approximation.
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Key Words
Production planning and controlModelling and decision making in complex systems