Stochastic optimization of shipyard digital transformation portfolios: A hybrid GA–forecasting–Monte Carlo framework

Ocean Engineering 2026

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Authors: Güldem Elmas, Ayfer Ergin, Pamela Ates, M. Fatih Ergin
DOI: 10.1016/j.oceaneng.2026.126229
Cited by: 1
References: 43

Fields of Study & Subjects

Maritime Ports and Logistics Risk and Portfolio Optimization Optimization and Packing Problems

Publication details

Journal / source
Ocean Engineering
Publisher
Elsevier BV
Volume
362
Pages
126229–126229
Publication date
28 May 2026
Language
EN