doi: 10.7763/IJCTE.2026.V18.1395
Algorithmic Decision-Making Framework for Ship Modernization Strategy Using Nonlinear Multi-Parameter Optimization
Svitlana P. Onyshchenko1
,
Oleksiy M. Melnyk1,* ,
Oleksandr M. Shumylo1 ,
Igor I. Vorokhobin2 ,
Igor O. Burmaka2 ,
Oleg A. Onishchenko2
- 1Navigation and Maritime Safety, Merchant Maritime Institute, Odesa National Maritime University, Odesa, Ukraine
- 2Ship Handling Department, Institute of Navigation, National University “Odesa Maritime Academy”, Odesa, Ukraine
- Manuscript receivedDecember 6, 2025
- revisedJanuary 2, 2026
- acceptedFebruary 28, 2026
- publishedJune 12, 2026
Abstract
The article presents an algorithmic model for decision-making on selecting the optimal strategy for modernizing a seagoing vessel via nonlinear multi-parameter optimization. A set of interrelated technical, economic, and operational factors that influence the feasibility of modernization measures within the vessel’s life cycle is considered. It is shown that traditional approaches to maintenance and periodic assessment of a vessel’s condition are insufficient for strategic planning, as they do not account for the long-term economic consequences, the level of risk, and the investment attractiveness of modernization. A model is proposed that integrates investment cost indicators, modernization parameters, characteristics of the modernization contractor, the projected service life of the vessel after modernization, expected annual profit, risk level, and life cycle indicators (Life Cycle Cost (LCC) and Life Cycle Assessment (LCA)). Net Present Value (NPV) is used as the main optimization criterion, and a system of constraints is formed that takes into account financial, time, and safety factors. The proposed algorithmic system allows for a reasonable choice of modernization type, parameter configuration, and contractor, ensuring maximum economic efficiency under existing conditions. The results indicate the promise of applying optimization algorithms in marine engineering to improve the reliability, profitability, and long-term sustainability of ship operations.
Keywords
- ship modernization
- algorithmic modeling
- nonlinear optimization
- multi-parameter solutions
- ship life cycle
- navigation safety
- navigation
- sea trials
- ship handling
- fleet management
- vessel’s maneuverability
- ship operation
- modernization strategy
- decision making
- economic efficiency
- maritime transport
How to Cite
Svitlana P. Onyshchenko, Oleksiy M. Melnyk, Oleksandr M. Shumylo, Igor I. Vorokhobin, Igor O. Burmaka, and Oleg A. Onishchenko, "Algorithmic Decision-Making Framework for Ship Modernization Strategy Using Nonlinear Multi-Parameter Optimization," International Journal of Computer Theory and Engineering, vol. 18, no. 2, pp. 133-144, 2026. https://doi.org/10.7763/IJCTE.2026.V18.1395
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).