DOI: 10.7763/IJCTE.2026.V18.1395
Algorithmic Decision-Making Framework for Ship Modernization Strategy Using Nonlinear Multi-Parameter Optimization
2. Ship Handling Department, Institute of Navigation, National University “Odesa Maritime Academy”, Odesa, Ukraine
Email: onyshenko@gmail.com (S.P.O.); m.onmu@ukr.net (O.M.M.); shumylo.alexander@gmail.com (О.М.S.); vorokhobin@onma.edu.ua (I.I.V.); navinst@onma.edu.ua (I.O.B.); oleganaton@gmail.com (O.A.O)
*Corresponding author
Manuscript received December 6, 2025; revised January 2, 2026; accepted February 28, 2026; published June 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
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.
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).