Research on the Optimization of Cold Chain Logistics Distribution Path Considering Carbon Emissions

Authors

  • Qian Liang

DOI:

https://doi.org/10.54691/wyehds91

Keywords:

Cold chain logistics, path optimization, carbon emission, genetic algorithm, multi-temperature co-allocation.

Abstract

With the proposal of the "double-carbon" development goal, all walks of life are actively implementing the national green and low-carbon development requirements. As an important branch of the logistics industry, cold chain logistics is also a key area to achieve the goal of "double carbon". If the concept of low carbon is introduced into cold chain logistics and the distribution route is rationally planned, it can not only reduce logistics costs, but also reduce carbon emissions. Therefore, the minimization of the total distribution cost is taken as the optimization goal, Under the constraints of vehicle load and time window, the cold chain logistics distribution path optimization model is constructed with the goal of minimizing the total distribution cost. Then designed the genetic algorithm to solve, respectively from considering carbon emissions and carbon emissions two cases planning distribution route, and optimization before single temperature distribution scheme comparative analysis, the results show that the carbon emissions considering the cold chain distribution path optimization, and choose cold storage incubator type in distribution mode, not only can reduce the enterprise distribution cost, improve the distribution efficiency of distribution, but also can reduce the carbon emissions.

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References

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Published

2024-12-23

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Section

Articles

How to Cite

Liang, Q. (2024). Research on the Optimization of Cold Chain Logistics Distribution Path Considering Carbon Emissions. Frontiers in Science and Engineering, 4(12), 30-42. https://doi.org/10.54691/wyehds91