Paper
16 February 2023 Optimal selection of cruise ship waste disposal ports
Jie Wang, Wen Huang, Qiuying Zhang
Author Affiliations +
Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125910Q (2023) https://doi.org/10.1117/12.2668667
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China
Abstract
As cruise ships call at many ports and passengers come from all over the world, it is very easy to carry viruses on cruise ships. Under the control of the epidemic situation on board, the solid waste generated by them should be scientifically treated to prevent the spread of infectious diseases such as COVID-19 pneumonia. Therefore, Reasonable selection of waste disposal ports and formulation of unloading plans are directly related to the resumption of cruise operations. This study considers the cost and risk of waste disposal, uses robust optimization to deal with waste volume, increases the scenarios of port service interruption due to epidemics and other reasons, and proposes a variety of emergency strategies. Finally, the relevant strategies are selected according to the decision-maker's preference for cost and risk; by solving the relevant examples, the optimal choice of the cruise ship waste disposal port under the epidemic situation is given, which verifies the validity and feasibility of the model. The research helps to improve the management of cruise waste during the post-epidemic period and has practical value and guiding significance for the normal operation and development of the global cruise market.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Wang, Wen Huang, and Qiuying Zhang "Optimal selection of cruise ship waste disposal ports", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125910Q (16 February 2023); https://doi.org/10.1117/12.2668667
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KEYWORDS
Mathematical optimization

Transportation

Industry

Pollution

Analytical research

Emergency preparedness

Stochastic processes

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