Sustainable Application and Economic Efficiency Analysis of Ship Transportation in the Transportation of Residential Building Materials

Abstract

As a critical link in the supply chain for residential building materials, the sustainability and economic efficiency of shipping play a key role in the low-carbon transformation of the construction industry. This paper establishes a sustainability optimization framework for shipping based on big data analysis and intelligent algorithms, covering key technologies such as ship design and the development of intelligent vessels. A hybrid optimization algorithm combining genetic algorithms and nonlinear programming is proposed to optimize the ship hull form with wave resistance Rw as the objective function. By leveraging augmented reality for real-time, all-around navigation assistance, the study achieves intelligent shipping operations. Using net present value and internal rate of return models, the economic benefits of different transportation scenarios are quantified. Case analyses demonstrate that the optimized ship design reduces resistance by 4.96%, the intelligent navigation system improves visual communication efficiency by 14.29%, and the comprehensive solution achieves over 25% higher economic benefits compared to the baseline.