Abstract
This paper quantitatively analyzes the inspection strategy (which arriving ships are selected for inspection) for on-board fuel sampling considering limited inspection capacity and ships’ violation behaviors. By establishing a semi-random input model and proposing the corresponding algorithm, the optimal inspection strategy is obtained. Furthermore, the impacts of related factors on the optimal inspection strategy are analyzed. The results show that compared to randomly select ships, the method proposed in our study can determine a more reasonable inspection strategy.
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Notes
- 1.
According to the simulation, the numerator and denominator of c have the same order of magnitude. The range of c and \( \sigma \) are [0.6, 1.8] and 0.16, respectively. In addition, the determination of non-compliant ships is mainly affected by the relative value of b and has little relationship with the absolute value b. Therefore, the establishment of b is relatively reasonable.
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This work was supported by the National Natural Science Foundation of China (11991022).
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Li, L., Gao, S., Yang, W. (2020). Inspection Strategy for On-board Fuel Sampling Within Emission Control Areas. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_41
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