Journal of System Simulation
Abstract
Abstract: The freshness distribution requirements of fresh agricultural products may increase the carbon emissions of the cold chain distribution process. A cold chain distribution scheduling strategy and simulation method for the fresh agricultural products under low-carbon constraints is proposed. Based on the quantitative analysis of the carbon tax mechanism, a mathematical model of minimizing the carbon emissions and minimizing the overall cost of distribution is established. Comprehensively analyzing the conventional factors such as the product delivery volume, delivery time and loading and unloading time in logistics distribution, an improved quantum ant colony algorithm based on adaptive rotation angle is proposed. The proposed method is applied to a simulation example of fresh food distribution. The experimental results are compared with the results of the existing algorithms, and verify that the proposed method can effectively optimize the cold chain logistics distribution path of fresh agricultural products and reduce the carbon emissions and distribution costs.
Recommended Citation
Ning, Tao; Gou, Tao; and Liu, Xiangdong
(2022)
"Simulation on Cold Chain Distribution Path of Fresh Agricultural Products Under Low-carbon Constraints,"
Journal of System Simulation: Vol. 34:
Iss.
4, Article 15.
DOI: 10.16182/j.issn1004731x.joss.20-0903
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/15
First Page
797
Revised Date
2021-01-05
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0903
Last Page
805
CLC
TP301
Recommended Citation
Tao Ning, Tao Gou, Xiangdong Liu. Simulation on Cold Chain Distribution Path of Fresh Agricultural Products Under Low-carbon Constraints[J]. Journal of System Simulation, 2022, 34(4): 797-805.
DOI
10.16182/j.issn1004731x.joss.20-0903
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