Research on Optimization of Distribution Route for Cold Chain Logistics of Agricultural Products Based on Traffic Big Data

Abstract

Abstract:

To solve the problems of high cost of cold chain logistics of fresh agricultural products and long travelling time, and in view of the increasingly congested urban roads, this paper first analyzes the fixed cost and the costs of transportation, refrigeration, cargo loss and penalty of cold chain logistics distribution of agricultural products based on real-time traffic information and builds a mathematical model for distribution route optimization with minimized cost. On this basis, in order to further solve the problem of flexible end distribution and reduce the total distribution cost, it is proposed to set reasonable connection points in the cold chain distribution and establish a mathematical model for the distribution route optimization of agricultural products cold chain logistics based on real-time traffic information and connection points. It uses ant colony algorithm to solve the above models and conducts an empirical analysis. The study shows that cold chain distribution of agricultural products based on real-time traffic information and connection point method can effectively reduce the cost of cold chain distribution and increase customer satisfaction.

Key words: vehicle routing optimization, cold chain logistics, real-time traffic, connection point

Yao Yuanguo, He Shengyu. Research on Optimization of Distribution Route for Cold Chain Logistics of Agricultural Products Based on Traffic Big Data[J]. , 2019, 31(4): 240-253.

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