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

Research output: Contribution to journalArticle


Research units

  • Pontifícia Universidade Católica do Rio de Janeiro
  • Petrobras


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
Issue number2
Publication statusPublished - 16 Jul 2016
MoE publication typeA1 Journal article-refereed

    Research areas

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

ID: 16007705