摘要
国家组织药品大批量集中采购后,针对多种药品集中配送问题,在综合考虑运输、环保、制冷、货损、库房租赁、质量满意度、时间满意度成本和实时路况下,构建了多种药品集中配送成本最优模型,并结合免疫遗传算法、禁忌搜索算法和信息熵理论等特点,设计了免疫遗传禁忌算法,最后通过真实案例进行了验证和分析。
Considering multi-drugs centralized distribution problem in the context of nationwide collective pharmaceutical procurement in China,a mathematical model was built to optimize cost for multi-drugs centralized distribution by considering real-time traffic and cost of transportation,environmental protection,cooling,cargo damage,warehouse leasing,quality satisfaction and time satisfaction.An immune-genetic-tabu algorithm was designed to solve the problem based on the characteristics of immune-genetic algorithm,tabu search algorithm and information entropy theory.Finally,the model and algorithm were verified through a real case.
作者
袁志远
高杰
杨才君
YUAN Zhiyuan;GAO Jie;YANG Caijun(School of Management,Xi′an Jiaotong University,Xi′an,Shaanxi 710049,China;School of Pharmacy,Xi′an Jiaotong University,Xi′an,Shaanxi 710061,China)
出处
《工业工程与管理》
北大核心
2022年第1期21-29,共9页
Industrial Engineering and Management
关键词
带量采购
药品配送
免疫遗传禁忌算法
实时路况
collective procurement
drug distribution
immune-genetic-tabu algorithm
real-time traffic
作者简介
袁志远(1983—),河南项城人,博士研究生,主要研究方向为优化管理。E-mail:308130028@qq.com;通信作者:杨才君,副教授,博士,主要研究方向为药品政策研究。E-mail:yangcj@xjtu.edu.cn。
