International Journal of

This article aims to determine the main factors affecting the fast and reliable loading and unloading of the dry bulk terminal in the Imam Khomeini Port with an emphasis on reduced rate of loading and unloading in order to improve the performance of the port. In this study, the actual loading and discharging statistics data related to the port used previously as validated databases. A linear regression method used for calculating and final analysis in order to analyze the data and obtain the results by using the econometric method. The overall results of this study indicate that in the first model-independent variables of a technical defect of ship equipment, delay in separation, and displacement of cooling equipment affect the dependent rate of loading variable and this effect is indirect. In the second model, independent quarantine variables, technical defects of ship equipment, and the displacement of the cooling equipment influenced by the rate of unloading the dependent variable and these effects are indirect.