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摘要:
In recent years, with the rapid development of China's fresh market, cold chain logistics ushered in a new development opportunity. Because of the late start and slow development of cold chain logistics in China, it is difficult to achieve cross-regional and offseason sales activities, resulting in a situation of high output and small sales volume, which is also an important reason for the high price and poor quality of fresh agricultural products. With the passage of time, the characteristics of cold chain distribution of agricultural products have become an important direction for the future development of logistics industry. In this paper, aiming at the characteristics of agricultural cold chain distribution, the carbon emissions in the process of distribution were quantified as costs and added to the total cost, and an optimization model of agricultural cold chain logistics path with time window considering the minimum total cost as the objective function was constructed. The improved genetic algorithm was used to solve the problem. The simulation results show that the improved genetic algorithm is an effective method to solve the optimization problem of agricultural cold-chain logistics path considering carbon emissions, and has guiding significance for the selection of low-carbon and environmentally friendly distribution routes for agricultural cold-chain logistics distribution enterprises.
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篇名 Research on Optimizing the Distribution Path of Agricultural Cold Chain Logistics in Green Consumption Era
来源期刊 电子商务学刊:中英文版 学科 工学
关键词 Cold CHAIN LOGISTICS FRESH AGRICULTURAL Products Distribution ROUTE Optimization COST-SAVING Method
年,卷(期) 2019,(1) 所属期刊栏目
研究方向 页码范围 13-17
页数 5页 分类号 TN
字数 语种
DOI
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研究主题发展历程
节点文献
Cold
CHAIN
LOGISTICS
FRESH
AGRICULTURAL
Products
Distribution
ROUTE
Optimization
COST-SAVING
Method
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电子商务学刊:中英文版
季刊
2168-5983
湖北省武汉市武昌区珞狮南路519号(中国
出版文献量(篇)
21
总下载数(次)
0
总被引数(次)
0
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