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Distribution Path Scheme of Urban Cold Chain Logistics Terminal Based
on Genetic Simulated Annealing Algorithm
—Take Xi’an as an Example
HUANG Jinling
2022, 47(10):
153-157.
DOI: 10.16638/j.cnki.1671-7988.2022.010.032
The scale of cold chain logistics market is large, but the corrosion rate of products is
higher than that of developed countries due to the backward refrigeration equipment in the
transportation process in China. In order to effectively improve the transportation quality of cold
chain logistics and improve customer satisfaction, this paper analyzes the problem of terminal
distribution path of urban cold chain logistics, combined with the current situation of terminal distribution of cold chain logistics, and considers the damage of fresh products based on the actual
situation of urban roads (normal road conditions, congested road conditions), distribution time and
other influencing factors, the cold chain end distribution models under two road conditions are
constructed respectively. The fuzzy time window is used to describe customer satisfaction, and the
objective function with the shortest distance, the lowest cost, the best timeliness and the highest
customer satisfaction is established. Finally, taking the business scenario of the road section around
the wild goose pagoda in Xi'an as an example, the terminal distribution of primary cold chain
logistics is simulated, and the genetic simulated annealing algorithm is used to solve the models of
normal road conditions and congested road conditions. The results show that the cost of congested
road conditions is higher than normal road conditions under the same satisfaction, so enterprises need
to reasonably optimize the route. At the same time, it is proved that this method can achieve the
purpose of reducing cost and increasing efficiency.
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