The time allotted to a single ship at berth varies greatly depending on the characteristics of the ship, the volume of cargo and its specifications.. Taking into account the service time and the problem of terminals by overcrowding of waiting ships and available berths (which may vary in number, depending on the size of ships already berthed), the average waiting time is calculated and obtained. The operating process is usually sequential, ie each type of cargo is stacked separately from the other types. For this reason, the operating time was considered to consist of four other indicators, which correspond to the main types of cargo of Ro-Ro / Ro-Pax ships: complete trucks, semi-trailers, • passenger cars, vehicles as goods themselves. Also, the time of operation of the goods by the dockers can be formulated by two other different terms: the time related to the ship and the time in the terminal. In this context, we intend to analyze the capacity of the terminal in Constanța Port.. Two different scenarios are considered: a more "common" case for the studied terminal with 40 semi-trailers and 80 trucks to be unloaded and the same amount to be loaded and an "extreme" case in which all goods are composed of semi-trailers ( 160 plus 160 in total). By using simulation models, the values for the optimal quay time were obtained, in relation to the number of units for loading data in the specified scenarios. Using modeling algorithms, we obtain reports of situations that include tables and graphs that allow the optimization of terminal operation.

: Placing the work in context: Containerization has made transportation cheaper, and this has changed the global economy and trade. The efficiency of a container terminal requires: a) high-performance equipment for high performance management; b) large area to facilitate the movement of handling equipment and placement of containers; c) good organization of its operation. The purpose of the work: The present paper aims to present operating tools in a container terminal, which will contribute to reducing operating times and possible human errors. Research, methodology: a) Analysis of container terminal design tool; b) Optimization, automation and integration of technological equipment in containerized shipping. Results: a) structure and calculus of the model of the container ship terminal-case study new terminal Port Agigea-Constanta; b) different scenarios of different parts of the terminal- handling operation, the characteristics of quay crane and the characteristics of different equipment types for transferring container between quay-yard and inside the yard; c) selecting the best scenario that would lead to short operating times and to the exclusion of human errors that can lead to accidents at work. Conclusions: The goal of the study is to find the tools for optimal design of the container ship terminal which includes more functionalities with reduced operational times and exclusions of human errors.