Application of Experimental Design in Optimizing Fuel Station Queuing System

Abstract

This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to design a model based on simulation to optimize the queuing system and fuel station sales. This study combines simulations and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station