Abstract
Uncertainties exist and affect the actual port production. For example, at the beginning of 2020, the sudden outbreak of COVID-19 seriously affected terminal production and increased the short-term pressure of handling at container terminals. Consequently, a large number of containers were stacked at terminals, and the problem of terminal congestion became more serious. To solve the congestion problem of container terminals and ensure the priority dispatch of emergency materials, this study uses the optimized arrival patterns of external trucks and a priority dispatch strategy for emergency materials to establish a bilevel optimization model for container terminals and proposes a chaotic genetic algorithm based on logistic mapping as a solution. Through numerical experiments, the algorithm proposed in this study was compared with the genetic algorithm and adaptive genetic algorithm. The experimental results show that the model and algorithm proposed in this study can effectively reduce the total cost of containers in a terminal while ensuring the priority dispatch of emergency materials, reducing the overlapping part of the time window, optimizing the arrival mode of external trucks, and reducing the waiting time of external trucks, effectively alleviating the terminal congestion problem.
Highlights
Literature ReviewIn response to COVID-19, it is necessary to consider avoiding terminal congestion due to the centralized arrival of the external trucks and giving priority to the external trucks with the task of emergency materials. erefore, the literature review is mainly organized from two parts: container terminal congestion and emergency logistics
Introduction e outbreak of COVID19 in early 2020 has had a serious impact on our lives, industrial production, and economic development
In response to COVID-19, it is necessary to consider avoiding terminal congestion due to the centralized arrival of the external trucks and giving priority to the external trucks with the task of emergency materials. erefore, the literature review is mainly organized from two parts: container terminal congestion and emergency logistics
Summary
In response to COVID-19, it is necessary to consider avoiding terminal congestion due to the centralized arrival of the external trucks and giving priority to the external trucks with the task of emergency materials. erefore, the literature review is mainly organized from two parts: container terminal congestion and emergency logistics. The genetic algorithm is suitable for solving the related problems in the field of transportation, so this study uses the chaotic genetic algorithm based on logistic mapping to solve the problem In this part, we propose a framework of the bilevel optimization model. Considering the problems of terminal congestion and the dispatch of emergency materials under the uncertain situation, as well as the related time window constraints, establish a bilevel optimization model for the priority dispatch of emergency materials. It can alleviate port congestion while realizing the priority dispatch of emergency supplies. E processing speed of each gate is consistent. e service efficiency of each yard crane is consistent, and the energy consumed by each yard crane is the same
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