Study on optimization of express delivery cost considering dynamic demand
Abstract
In the process of express delivery, received a large number of unplanned customer orders, and have a certain time
requirements, considering the two-way fl ow of goods, transportation costs, delivery time and other factors, obtain the dynamic data of GPS,
GIS, MC and other platforms, use the city dynamic delivery point algorithm, calculate the shortest path, use the mileage saving method to
combine the distribution path, Then use the hybrid genetic algorithm to optimize the overall integration of the minimum total distribution
cost objective function, which can improve the convergence speed of the accounting, and get the sensitivity parameters that affect the
optimal solution. An example shows that the proposed method can provide a better optimization scheme for express delivery cost.
requirements, considering the two-way fl ow of goods, transportation costs, delivery time and other factors, obtain the dynamic data of GPS,
GIS, MC and other platforms, use the city dynamic delivery point algorithm, calculate the shortest path, use the mileage saving method to
combine the distribution path, Then use the hybrid genetic algorithm to optimize the overall integration of the minimum total distribution
cost objective function, which can improve the convergence speed of the accounting, and get the sensitivity parameters that affect the
optimal solution. An example shows that the proposed method can provide a better optimization scheme for express delivery cost.
Keywords
Dynamic demand; Express delivery cost; Hybrid genetic algorithm.
Full Text:
PDFReferences
[1] Zhidan Qin, Zhangyue Chen, Xianwen Gong. Research on Logistics Distribution Cost Estimation based on Data Mining [J]. Modern Electronic
Technology, 2019, 43 (13) : 183-186. (in Chinese
[2] Xiaojian Hu, Zhi Yang. Research on path planning of multi-pick car based on hybrid genetic algorithm [J]. Journal of Hefei University of Technology,
2022,45 (12) : 1715-1722
[3] Qiuhan Yan. Analysis of vegetable distribution cost optimization in Daqing City [J]. Agricultural Equipment Technology.2022,48(02):57-60. (in Chinese)
[4] Shun Zhang. Study on infl uencing factors and control optimization of fresh e-commerce distribution cost [J]. Marketing Circle, 2020 (41) : 131-132.
DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i5.12927
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