Publication
Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach
| Summary: | This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems. |
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| Main Authors: | Lima, C. |
| Other Authors: | Relvas, S.; Barbosa-Póvoa, A.P. |
| Subject: | Strategic and tactical planning Downstream oil supply chain Optimization Fuzzy programming Uncertainty |
| Year: | 2021 |
| Country: | Portugal |
| Document type: | contribution to journal |
| Access type: | open access |
| Associated institution: | Escola Superior Náutica Infante D. Henrique |
| Language: | English |
| Origin: | Escola Superior Náutica Infante D. Henrique |
| Summary: | This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems. |
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Funded activities
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