Research on scheduling optimization of yard crane under low carbon background

Shujuan Li; Zhiyi Ruan; Shaojiong Chen; Weimei Li

doi:10.1117/12.2673737

22 May 2023 Research on scheduling optimization of yard crane under low carbon background

Shujuan Li, Zhiyi Ruan, Shaojiong Chen, Weimei Li

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 1264017 (2023) https://doi.org/10.1117/12.2673737
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

Container yard is a key link for terminals to achieve carbon neutral development, and yard crane is an important equipment used in the yard. Taking a single yard crane as an example, the optimization model of yard cranes scheduling in container yard is established by considering the cost of moving the yard crane, the number of transitions, the waiting time of container trucks, and the carbon emission generated by the yard crane during moving, loading and unloading as well as waiting, and the model is solved by using non-dominated sorting genetic algorithm (NSGAII), and finally the validity of the model is verified by using example data. It is expected that the research in this paper will be of positive reference significance for improving the efficiency of yard crane operation, reducing the carbon emission from yard crane, and realizing the carbon neutral development of the port.

Citation Download Citation

Shujuan Li, Zhiyi Ruan, Shaojiong Chen, and Weimei Li "Research on scheduling optimization of yard crane under low carbon background", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 1264017 (22 May 2023); https://doi.org/10.1117/12.2673737

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