Paper
13 April 2023 Research on the vehicle distribution route based on commodity classification
Zhao Kouxin
Author Affiliations +
Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 126050K (2023) https://doi.org/10.1117/12.2673305
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China
Abstract
Logistics and distribution services have a wide range of commodities. Mixing different types of commodities can lead to loss of commodities, incurring additional costs and reducing the quality of distribution services. Therefore, it is also necessary to consider the distribution target when planning the distribution route. In this paper, we propose a soft time window distribution vehicle path planning problem considering commodity classification and establish an integer planning mathematical model for this problem. Next, the heuristic function of the ant colony algorithm and the pheromone update rule of are improved. The effectiveness of the model and the improved algorithm is demonstrated by citing international test datasets. Experimental results show that the model is able to assign commodities that are not suitable for mixed transport to different vehicles and avoid cargo transport losses. Although the transport distance increases, it reduces the total logistics operation cost, satisfies the diversified service needs of customers and improves customer satisfaction.
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Zhao Kouxin "Research on the vehicle distribution route based on commodity classification", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 126050K (13 April 2023); https://doi.org/10.1117/12.2673305
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KEYWORDS
Mathematical modeling

Computer simulations

Data modeling

Detection and tracking algorithms

Lithium

Transportation

Genetic algorithms

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