STUDY ON ROUTE OPTIMIZATION OF COLD CHAIN LOGISTICS OF FRESH FOOD

被引:0
|
作者
Chai, Jian [1 ,2 ]
机构
[1] Beihang Univ, Sch Humanities & Social Sci, Beijing 100191, Peoples R China
[2] Taiyuan Univ Sci & Technol, Taiyuan 030024, Peoples R China
关键词
Optimization; Genetic algorithm; Cool chain logistics; Fresh food;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Take the distribution of the national express refrigerated transport company as a example to verify the basic model of cold chain logistics distribution routes. If the transportation cost and the number of customers are consistent in per unit mileage, the longer service mileage from distribution center to the customers, the greater total transportation cost. Therefore, the total cost of vehicle transport is proportional to service mileage. The greater spoilage costs per product caused by the accumulation of mileage and the lapse of time, the higher total damage costs. The higher unit price, the greater total damage costs of fresh products caused by transport time and car door opening. Hence, the damage cost is proportional to the transport time and the unit price of goods. Divide customer points according to the regions of customer points and the limit load capacity of 11t vehicles based on good road condition, cluster analysis of results, respectively use the standard genetic algorithm and the improved genetic algorithm to calculate under the same control parameters, compare them and obtain the results. The results show that the improved genetic algorithm is superior to the standard genetic algorithm in the calculation of the speed and efficiency.
引用
收藏
页码:113 / 121
页数:9
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