Designing and Planning the Downstream Oil Supply Chain under Uncertainty Using a Fuzzy Programming Approach

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 param-eters. 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 pro-posed 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. (c) 2021 Elsevier Ltd. All rights reserved.