A multi-period fuzzy mathematical programming model for crude oil supply chain network design considering budget and equipment limitations

The major oil industry upstream activities include the exploration, drilling, extraction, pipelines installation, and production of crude oil. In this paper, we develop a mathematical model to plan for these operations as a crude oil supply chain network design problem. The proposed multi-period mixed integer linear programming model entails both strategic (e.g., facility location and allocation) and tactical (e.g., project and production planning) decisions. With the objective of maximizing total Net Present Value (NPV) at the end of planning horizon, the decisions to be made comprise the location of the facilities, the flow of commodities and the amount of investment. The uncertain natures of important input parameters such as capital and operational cost, demand and price of crude oil, are taken into account via fuzzy theory. Finally, the performance of the developed model is investigated using the real data of Iranian South Oilfields.