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Growing Science » Authors » S.M. Bahadornia

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1.

Designing a resilient oil supply network with an intelligent solution algorithm Pages 289-310 Right click to download the paper Download PDF

Authors: M. Rabbani, S.M. Bahadornia, S.A. Torabi

doi 10.5267/j.uscm.2015.3.001

🔑 Keywords: Continuous facility layout, Energy security, Meta-heuristic algorithm, Oil-supply disruption, Resiliency, Scenario-based planning

Abstract:
Energy crisis in recent decades has demonstrated strong interdependence between national security and energy security. We are also witness of sever conflicts in oil-rich zones such as Middle-East and West of Suez. This study is the first attempt to provide a flexible multi-objective mathematical model which not only mitigates catastrophic risks by filtering and taking plausible oil-supply disruption scenarios into account, but also reduces oil-supply disruption probability by considering and optimizing political, economic and financial dimensions of oil procurement. Mentioned model determines a resilient portfolio of oil suppliers under each scenario and decides which ports or pipelines must be prepared for receiving oil. Furthermore, the proposed model in the second phase enhances oil-availability in crisis time by storing strategic oil stocks in appropriate geographic points. Also regarding to complexity of the second phase model, a meta-heuristic algorithm has been provided to solve the mentioned model. Finally validity of proposed model is checked by solving it for Greece case problem; sensitivity analysis shows that provided model significantly mitigates catastrophic risks threating energy security by balancing political affairs and reinforcing infrastructural facilities with the least possible cost.
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Journal: USCM | Year: 2015 | Volume: 3 | Issue: 3 | Views: 2073

 

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