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.

本文讨论了受不同不确定性来源影响的下游石油供应链 (DOSC) 的战略和战术规划。这个问题被表述为混合整数线性规划 (MILP) 模型，而不确定性是使用带有模糊参数的机会约束规划来解决的。MILP 模型旨在以具有成本效益的方式确定网络设计和产品分销计划。巴西石油工业的真实案例研究用于验证该模型。所提出的模型显示出是一种有价值的决策支持工具，以帮助现实生活问题的战略和战术规划中的决策过程。