Research on Optimization of Low Carbon Logistics Distribution Path in B2C E-commerce
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Ting Wang and Jing Lu
The current low-carbon economy has attracted the attention of the society and the government. Under this background, B2C e-commerce low-carbon logistics distribution has attracted the study of many scholars. According to the characteristics of B2C e-commerce distribution and low-carbon distribution, this paper establishes a distribution path optimization model, and uses the improved genetic algorithm to calculate through matlab, and finally realizes the optimization of B2C e-commerce enterprise distribution path. The B2C e-commerce distribution path optimization studied in this paper has certain theoretical and practical significance.
B2C e-commerce; low carbon logistics; path optimization