Journal of Marine Science and Engineering (Oct 2024)

Application of Advanced Algorithms in Port State Control for Offshore Vessels Using a Classification Tree and Multi-Criteria Decision-Making

  • Zlatko Boko,
  • Ivica Skoko,
  • Zaloa Sanchez-Varela,
  • Tony Pincetic

DOI
https://doi.org/10.3390/jmse12111905
Journal volume & issue
Vol. 12, no. 11
p. 1905

Abstract

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This article examines the methods and application of classification trees and multi-criteria decision-making in the process of holding offshore vessels in port (Port State Control—PSC). This work aims to improve the efficiency and precision of the control processes in the detention of offshore vessels by using advanced analytical methods. Methodologically, a classification decision tree was used to identify the most important risk factors, enabling a faster and more accurate assessment of the possibility of detaining offshore vessels in port. Multi-criteria decision-making (MCDM) also enabled the simultaneous assessment of multiple factors, ensuring a balanced, robust, accurate, and objective approach. The research results show that the integration of these methods into the PSC process can significantly increase the safety of shipping and reduce the operating costs of offshore vessels. The application of these analytical tools can lead to a more systematic and transparent inspection process. This paper suggests further research and training of inspectors in the use of these techniques to maximize their applicability and effectiveness. Finally, this paper emphasizes the potential of classification trees and MCDM for safer and more efficient maritime transport by improving PSC procedures.

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