Paper
6 May 2022 Analysis on logistics distribution path optimization of Y chain stores
Runze Tao, Jinchuan Zhang
Author Affiliations +
Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122561Y (2022) https://doi.org/10.1117/12.2635376
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
Logistics distribution is an important part of chain operation, reducing the cost of this part can improve the competitiveness of enterprises. Considering the time window limit, the VRP model of terminal distribution is established to minimize the logistics distribution cost of Y chain stores. The genetic algorithm is used to solve the problem in MATLAB. Compared with the initial delivery, the optimized delivery mileage can be reduced by 1.3 km, the vehicle loading rate of the first line after optimization can reach 97.5%, and the optimized distribution cost can save 6.5 yuan per delivery.
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Runze Tao and Jinchuan Zhang "Analysis on logistics distribution path optimization of Y chain stores", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122561Y (6 May 2022); https://doi.org/10.1117/12.2635376
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KEYWORDS
Genetic algorithms

Optimization (mathematics)

MATLAB

Data storage

Analytical research

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