%0 Journal Article
%T A医药集团北京地区冷链配送路径优化<br>Route Optimization of Cold Chain Distribution in Beijing Area of A Pharmaceutical Group
%A 巨坤
%A 刘树基
%A 吕铮
%A 刘盼
%A 张志慧
%J Service Science and Management
%P 229-237
%@ 2324-7916
%D 2020
%I Hans Publishing
%R 10.12677/SSEM.2020.94030
%X 医药冷链配送模式需求量日益增加，北京作为国家首都，人口密集，药品的需求量远高于其他城市。药品的冷链配送对于物流行业来说一直备受关注，面对高需求量、高标准的药品冷链配送，我们要做到严格要求，确保全程冷链。本文通过蚁群算法以及MATLAB仿真软件，对A医药集团在北京地区的配送路径进行优化，并对优化结果从环境、企业、患者三个角度进行分析。<br />
The demand for the pharmaceutical cold chain distribution model is increasing day by day. As the national capital, Beijing has a dense population and the demand for medicines is much higher than other cities. The cold chain distribution of medicines has always attracted much attention in the logistics industry. In the face of high demand and high standards of cold chain distribution of medicines, we must meet strict requirements to ensure the entire cold chain. In this paper, the ant colony algorithm and MATLAB simulation software are used to optimize the distribution route of A Pharmaceutical Group in Beijing, and the optimization results are analyzed from three perspectives: environment, enterprise, and patient.
%K 医药物流，冷链配送，路径优化，蚁群算法<br>Pharmaceutical Logistics
%K Cold Chain Distribution
%K Route Optimization
%K Ant Colony Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=36760