One of the important points in estimating the amount of production in a mine is to determine the degree of dependence of the devices on each other. In the open-pit mine, after drilling and blasting, the crushed rock is loaded by loader to the haulage devices. The amount of rock that a loader can deliver to a haulage in a time unit depends on the capacity of the machines, the number of them and the cycle’s times. So it can be important to get a relationship between the loaders and haulages. In the open-pit mine traort fleet, the match factor between loading and haulage machines is defined. This factor indicates the degree of affinity of devices to each other. In this report, the match factor is first introduced, and to improve the match factor, a new parameter called the detailed match factor is presented. For validation, the detailed match factor, three mines were selected for case study. In the first case study two mines (Korkora and Shahrak iron mines) supply a processing plant. Using the detailed match factor, it can be seen that event of a decrease in production, the displacement of one or two trucks between the mines increases the part of production and partly compensates for the lack of production. In the second case study (Baghak and Dardvey iron mine), first, using the detailed match factor, the problem of allocation trucks to shovels was investigated and it was shown that five trucks could be withdrawn from the production line to standby mode contract. In addition, it has been shown that by using the detailed match factor in the queue theory, it is possible to optimally dispatch the trucks between the shovels. Also for controlling the production and grade, relations are developed based on the detailed match factor. Another optimization method in the truck dispatching system is the Ant Colony Algorithm. In the third case study (Choghart iron mine) after extracted of field mining, the dispatching system in the traort fleet was simulated by two methods of the detailed match factor and Ant Colony Algorithm. After solving the problem, the detailed match factor of 10% and the Ant Colony Algorithm increased 1% of the production. Finally, it can be concluded that the detailed match factor is a powerful tool for optimizing the dispatching system and allocation trucks in the fleet of open-pit mines. Due to the heterogeneity of the traort fleet in the Choghart iron mine, exactly mathematical methods do not have the ability to allocate trucks to loading machines. Therefor it is better to use innovative methods for the trucks allocation of this mine. In this research, the applicability of the Imperialist Competitive Algorithm with the aim of increasing production in a heterogeneous environment of the number of trucks assigned to each loading device was investigated. Then, to determine the amount of production, according to the distribution functions related to the cycle time, the traortation fleet simulation and the problem was solved. Ore production in the simulated model increased by 4.4% and the waste increased by 4.1%. In this optimization, a better control was also made on the amount of iron ore production that contained an intrusive element of phosphorus. Key Words: Open-pit mine, Traortation, Queuing Theory, Ant Colony Algorithm, Detailed Match Factor, Allocation, Dispatching, Imperialist Competitive Algorithm