A novel transporting system model for oil refinery: AL-Dura refinery, Iraq

Abstract

Overfilling a tank or having too many tanks filled with oil is potentially a misuse of precious resources. In this paper, Oil terminal modeled by using a discrete event simulation program Arena for AL- Dura refinery, Baghdad, Iraq. Multifactor variance analysis is used to determine different levels of the three factors and their interactions significantly affect the terminal profit including the optimal number of tanks, size of tanks and trucks of the arrival rate to maximize total revenue on average per week. The result shows minimum cost of oil at the terminal, and tanker truck fill rates and price and income structure, also predict with 99% confidence levels, a number of factors, which gives highest average total income per week.