Using linear programming to evaluate the performance of oil refineries in Iraq (Al-Dora Refinery Model)

Abstract

The Oil is an important natural resource that has received great attention in Iraq because it is moving the wheel of economic life. The study focused on the importance of evaluating these industries and clarifying the obstacles, as well as studying the refinery productivity of some oil derivatives, and applying data in a mathematical model to extract quantities؛ The optimum that achieves the refiner's goal of increasing the revenue earned, as well as raising the quantities produced from the main derivatives and working to achieve optimization in the refiner's work by using one of the optimization methods which is linear programming Furth more, it analyses the data obtained by one of the Analytical methods (sensitivity analysis) to identify the changes that occur in the model, and in general the aim of the study is to answer the following question: How reliable is the linear programming method in evaluating the performance of oil refineries in Iraq? The study, after using the cycle refinery to apply the mathematical model, reached a set of conclusions, the most important of which is that linear programming is a mathematical model that helps refiners to make productive decisions and improve the efficiency of using available resources in a way that reduces the gap resulting from increased demand, low supply, and work to increase revenue and prevent waste of energy And preserve the environment.