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3 2024

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A model for assessing shipping safety within project-orientated risk management based on human element

100%

Onyshchenko S. , Bychkovsky Y. , Melnyk O. , Onishchenko O. , Jurkovič M. , Rubskyi V. , Liashenko K.

tom z. 123

319--334

Safety risk management in shipping projects is an extremely important aspect aimed at ensuring the success of the project and the safety of all participants in the maritime transportation process. This paper presents an approach to assessing safety risks that considers multiple factors including equipment condition, external circumstances, and human factors. The risk assessment utilizes the probability of accidents and their consequences, as well as the weighting factors of each factor. The results of the assessment are interpreted using a scale that defines the hazard level. The proposed methodology can effectively identify, analyse and manage safety risks, which can contribute to the success and safety of shipping projects. The study also discusses the importance of dividing the crew into functional groups based on the operations performed, which helps to better identify the safety risk for each group. Safety risk assessment is conducted for each operation individually as well as for the entire project or multiple operations to provide a comprehensive safety assessment. The results of the study have shown the feasibility of the proposed method for assessing the safety risks of shipping projects and its suitability to the initial data “safety” taking into account its separate sides, features, as well as the constituent aspects of the concept, systematization of the ship's safety structure in order to develop solutions to improve integral safety and optimize decision-making in emergency situations. Achievement of the general purpose of shipping safety thus means realization of ways of reduction of influence of the human factor on the number of accidents, and an estimation of the degree of influence of a set of factors on a ship during operation.

Integrated optimization models for carrier selection and route planning in multimodal transport systems

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Onyshchenko S. , Berestenko V. , Melnyk O. , Onishchenko O. , Fomin O. , Kravchenko O. , Demidiuk O.

tom z. 125

213--228

This paper presents a comprehensive approach to the optimization of carrier routes and warehouses within multimodal transport systems, with a focus on a localized approach that takes into account specific regional features and constraints. The study develops an economic and mathematical model that considers both operational efficiency and cost minimization by integrating different modes of transport such as road, rail, and sea. Through a comprehensive analysis of existing literature and application of advanced optimization algorithms, the study proposes a new framework that improves the decision-making process in route planning and carrier selection. The proposed model is validated with real-world examples, demonstrating its practical applicability and potential to significantly improve the efficiency of multimodal transportation systems under different scenarios.

Radar-based detection and recognition methodology of autonomous surface vehicles in challenging marine environment

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Korban D. , Melnyk O. , Onishchenko O. , Kurdiuk S. , Shevchenko V. , Obniavko T.

tom z. 122

111--127

This paper presents a methodology that combines radar polarization selection and recognition techniques for navigating objects in atmospheric formations, with a special focus on unmanned surface vehicles (ASVs). The proposed technique utilizes the concept of an energy dissipation matrix to represent these objects as characteristic “shiny dots”. By strategically changing the polarization of the emitted and received electromagnetic waves, the resulting echo energy dissipation matrix is determined. This approach allows the formation of an intensity-based repository of atmospheric formations, which gives SRPC a complete set of tools to account for atmospheric conditions in radar identification of remote objects, including ASVs. The practical application of this technique extends to the improvement of a distinct class of shipborne radar systems optimized for ASVs and their specific navigation requirements. Ultimately, this technology bridges the gap between advanced radar technology and the emerging field of unmanned ground vehicles, providing safer and more proficient navigation in challenging weather conditions.