CONCEPTUAL MODEL OF PLANNING AND OPTIMIZATION OF CARGO VESSEL MAINTENANCE SCHEDULES

Abstract

The modern world requires continuous development and improvement of technical means, especially in the field of maritime transport. Cargo ships are an important part of the world trade system, and therefore the importance of research into the technical condition of shipboard equipment is undeniable. The results of such studies can be of considerable practical importance in improving the efficiency and safety of maritime transport.

Although there is a large body of research on ship maintenance, many aspects of this topic remain under-researched. For example, the impact of different maintenance methods on shipping efficiency is a topic that requires further research. An analysis of the scientific literature on this topic indicates that there is a problem of lack of sufficiently effective methods for modeling the processes of changing the technical condition of the ship's technical means, so this problem is relevant and requires further scientific research.

The article states that the tasks of forecasting and planning the maintenance of cargo ships can be effectively solved by analytical and statistical models, in particular, by Markov models, which allow modeling the processes of wear and damage.

The article provides a comparative analysis of analytical and statistical models used to model the processes of changes in the technical condition of on-board technical means of cargo ships. Special attention is paid to Markov models, which have proven to be particularly useful for modeling wear and damage processes.

The importance of considering a cargo ship as a complex object that includes various structural components and systems serving it is investigated. It is found that taking these factors into account can help to plan and optimize maintenance, thereby increasing ship reliability and reducing overall operating costs.