Paper
7 September 2023 Research on reverse logistics network planning of large ocean going passenger ship under uncertain conditions
Qi Wang, Jiaqi Yang, Jinghao Long
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905O (2023) https://doi.org/10.1117/12.2689716
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
With the gradual increase of market demand for large ocean passenger ships, the ability to build large ocean passenger ships by ourselves is also getting mature gradually. However, in the process of production and construction, due to the long construction cycle, multi-regional and multi-level cooperation and the complexity of production material types, the actual production process is difficult to fully follow the production plan, resulting in a large number of reverse logistics needs. Therefore, according to the characteristics of reverse logistics of large ocean ships, this paper combined with the actual shipyard carried out the reverse logistics operation mode decision, network node design and logistics facility location planning. It aims to improve the management and control level of reverse logistics in the logistics integration stage of the ship industry.
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Qi Wang, Jiaqi Yang, and Jinghao Long "Research on reverse logistics network planning of large ocean going passenger ship under uncertain conditions", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905O (7 September 2023); https://doi.org/10.1117/12.2689716
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KEYWORDS
Reverse modeling

Transportation

Network architectures

Computer programming

Particle swarm optimization

Design and modelling

Genetic algorithms

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