Purpose. The article deals with the creation of automated systems for managing cargo operations of container ships.Method. The main idea of the scientific research is to study the features of the process of loading-unloading of a container ship during its multi-port going’s (sequential enter to several ports during the same route). This raises the problem of shifting, i.e. the need to move some containers on board a vessel to accommodate others. The proposed method of placing containers on the basis of logical rules of loading and unloading allows to reduce the time of stay of the vessel in port by reducing the number of “shifting” operations, which has a positive effect on the economic performance of a container ship.Scientific novelty. The mathematical model of loading of a container ship on the basis of logical rules is developed that allows to take into account simultaneously the multiportity of execution of trip of the vessel and technological limitations of formation of cargo plan due to the peculiarities of their placement on the ship. The model of formation of the optimal cargo plan of the ship, taking into account the sequence of approach to the ports during the passage, is proposed.Practical importance. In the practical side, this work is aimed at creating a software product, the use of which will allow to solve an important scientific and applied task in the field of application of information technologies in navigation – increase the efficiency and safety of container transportation due to the creation of an automated containerized cargo operations management system (ACCOMS).Results. Key areas of research in this field are identified. It has been shown that ACCOMS will simultaneously solve a complex of cargo operations management tasks, which will reduce the time required to perform them and increase the economic efficiency of a vessel’s passage. Particularly effective is the application of the proposed approach when it is applied to multi-port transportations carried out by container ships with a small number of containers (feeder transportation).
Ben et al. (Tue,) studied this question.
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