A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty

F. Oliveira*, Paula M. Nunes, Rosa Blajberg, S. Hamacher

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

24 Citations (Scopus)

Abstract

Operational decisions for crude oil scheduling activities are determined on a daily basis and have a strong impact on the overall supply chain cost. The challenge is to develop a feasible schedule at a low cost that has a high level of confidence. This paper presents a framework to support decision making in terminal-refinery systems under supply uncertainty. The proposed framework comprises a stochastic optimization model based on mixed-integer linear programming for scheduling a crude oil pipeline connecting a marine terminal to an oil refinery and a method for representing oil supply uncertainty. The scenario generation method aims at generating a minimal number of scenarios while preserving as much as possible of the uncertainty characteristics. The proposed framework was evaluated considering real-world data. The numerical results suggest the efficiency of the framework in providing resilient solutions in terms of feasibility in the face of the inherent uncertainty.

Original languageEnglish
Pages (from-to)635-645
Number of pages11
JournalEuropean Journal of Operational Research
Volume252
Issue number2
DOIs
Publication statusPublished - 16 Jul 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Crude oil scheduling
  • Stochastic programming
  • Terminal-refinery system
  • Uncertain oil supply

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