基于K-means算法的低碳疫苗配送中心选址研究  

Research on Location Selection of Low-carbon Vaccine Distribution Center Based on K-means Algorithm

作　　者：周善添 苏凌云 张衡 徐珑玮 ZHOU Shan-tian;SU Ling-yun;ZHANG Heng;XU Long-wei(School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013

出　　处：《物流工程与管理》2022年第5期96-100,共5页Logistics Engineering and Management

摘　　要：文中提出了一种基于K-means聚类算法的疫苗配送中心选址方法,以上海市为例,验证了基于物流中心模式的疫苗配送中心的优越性。针对复杂的疫苗配送中心选址问题,将K-means聚类算法与手肘法相结合,以碳排放量最小为目标,寻找最优的疫苗配送分区及疫苗配送中心坐标,并计算碳排放量以验证基于物流中心模式的疫苗供应链的实际应用价值。This study proposes a method for the location of vaccine distribution centers based on K-means clustering algorithm.Taking Shanghai as an example,it verifies the superiority of the vaccine distribution center in the logistics center mode.Aiming at the complex location problem of vaccine distribution center,K-means clustering algorithm combined with the elbow method is used to find the optimal vaccine distribution zone and coordinates of vaccine distribution center with the goal of minimum carbon emission,and calculate the carbon emission for verifying the practical application value of vaccine supply chain based on logistics center mode.

关 键 词：K-MEANS 配送中心选址 手肘法 疫苗供应链 碳排放 

分 类 号：F252[经济管理—国民经济]