A Novel Transporting System Model for Oil Refinery

Abstract

Problem statement: Oil refineries are widely used to store various liquids and gases. Petroleum products are in high demand. Oil companies have abundant resources of petroleum products in pipelines and storage tanks. Approach: Included are storage tanks at retail gasoline station, home heating oil tanks, lubricant storage at automotive service facilities, propane tanks in all sorts of application, and oil company terminals across the world. The aim of this study is to present a model by which a decision maker should be able to choose the optimal number of tanks, tank size and truck arrival rate to maximize average total profit per week for an oil terminal operation. Results: In this study, 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. Conclusion/Recommendations: The result showed minimum cost of oil at the terminal and tanker truck fill rates and price and income structure, also predict with 90% confidence levels, a number of factors, which gives highest average total income per week.