Various disruptions may lead to changes in the carrying capacity of the tractor-and-trailer transportation network. To improve the reliability and resilience of the scheduling scheme of the tractor-and-trailer transport system in response to changes in carrying capacity of network, this paper constructs a mathematical model of multi-resource coordinated scheduling based on the digital expression of carrying capacity. A solution algorithm combined with genetic algorithm, greedy algorithm and multiple strategies is designed for solving the constructed model. The effectiveness of the proposed model and algorithm is verified with numerical examples, and the use of different strategies is analyzed for the examples of different types of disruptions events under single and combined influences.
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Xu et al. (2024) studied this question.
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