The aim of this article is to measure the impact of main factors affecting the reduction of discharge and loading performance compared to dry bulk discharge and loading in terminal of Imam Khomeini Port. For this purpose, the actual data presented in Imam Khomeini Port for discharging and loading statistics and library documented data were used. In order to answer the research questions, multiple regression method was used applying STATA14 software. According to the first model results, variables such as displacement of labour equipment, technical defect of ship equipment and delay in the separation had significant effect on loading rate via an indirect Chanel. Also, based on the second model results, independent variables such as displacement of labor equipment, technical defect of ship equipment and quarantine, had a significant effect on discharging rate variable and this effect found to be indirect. Moreover, almost all of the variables were significant in both regressing models.

This study aims at simulating the Loading and unloading system of Esfahan Steel Company’s store house of steel products and accordingly analyzing the practical solutions to decrease the stay and wait time of the trucks that arrive in the factory. According to the recorded time in the release and storage information of the factory’s system, loading lines were the most time-consuming sections, as a result this study focused on the existed lines. The study begins with timing the Docks and different stations to access the system’s factors which are under investigation. To simulate the system, ARENA 14 software was used. After validating the proposed model and confirming its validation, adding labor groups’ scenario will be made in order to reduce wait times.