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药品物流多中心选址优化研究
引用本文:袁志远,高杰,杨才君.药品物流多中心选址优化研究[J].运筹与管理,2022,31(10):1-5.
作者姓名:袁志远  高杰  杨才君
作者单位:1.西安交通大学 管理学院,陕西 西安 710049; 2.西安交通大学 药学院,陕西 西安 710061
基金项目:中央高校基本科研业务费专项资金资助
摘    要:为降低药品物流配送成本、提高药品配送效率。本文针对国家带量集中采购药品配送问题,构建了药品物流多中心选址-路径优化双目标模型。并结合模糊C-均值聚类算法(FCMA)、模拟退火算法和禁忌搜索算法各自优点,设计出了FCM-TS-SA混合算法,最后通过真实案例进行了验证、对比和分析。

关 键 词:带量采购  药品配送  FCM-TS-SA混合算法  实时路况  
收稿时间:2020-08-11

Study on Optimization of Drug Logistics Multi-center Sit Selection
YUAN Zhi-yuan,GAO Jie,YANG Cai-jun.Study on Optimization of Drug Logistics Multi-center Sit Selection[J].Operations Research and Management Science,2022,31(10):1-5.
Authors:YUAN Zhi-yuan  GAO Jie  YANG Cai-jun
Institution:1. School of Management, Xi' an Jiaotong University, Xi' an 710049, China; 2. School of Pharmacy, Xi' an Jiaotong University, Xi' an 710061, China
Abstract:In order to reduce the cost of drug logistics distribution and improve the efficiency of drug distribution, aiming at the problem of national centralized procurement and distribution of drugs with quantity, a dual objective model of multi-center location and path optimization of drug logistics is established in this paper. Combined with the advantages of fuzzy C-means clustering algorithm (FCMA), simulated annealing algorithm and tabu search algorithm, a hybrid algorithm of FCM-TS-SA is designed. Finally, a real case is verified, compared and analyzed.
Keywords:with quantity purchase  drug delivery  FCM-TS-SA hybrid algorithm  live traffic  
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