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供应商不确定情景下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.供应商不确定情景下药品物流多中心选址优化研究[J].运筹与管理,2022,31(4):8-13.
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;药品采购“两票制”政策效果的理论分析与实证评价
摘    要:根据国家4+7药品带量集中采购评审标准,基于药品生产企业生产质量、供应能力、相关资质和同类药品参标结果等数据进行梳理和分析,针对药品供应商不确定情景下药品物流多中心选址问题,构建药品物流整体费用最优的多中心选址模型,设计多阶段改进禁忌搜索算法,最后通过4+7带量集中采购具体算例对模型和算法进行验证,结果显示该模型和算法是可行和有效的。

关 键 词:供应商不确定  多中心选址  药品  禁忌搜索  
收稿时间:2020-05-01

Multi-center Location of Medicine Logistics with Uncertain Suppliers
YUAN Zhi-yuan,GAO Jie,YANG Cai-jun.Multi-center Location of Medicine Logistics with Uncertain Suppliers[J].Operations Research and Management Science,2022,31(4):8-13.
Authors:YUAN Zhi-yuan  GAO Jie  YANG Cai-jun
Affiliation: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:According to the national 4+7 medicine centralized purchasing review standards, based on the quality, supply ability and relevant qualifications of pharmaceutical production enterprise, and its competitors’ ability, we discuss the multi logistic centers location problem with uncertain suppliers. We establish the medicine center location model with optimal cost, and design a multi-stage Tabu search algorithm to solve it. The model and algorithm are tested by a real word example. The results show that the model and algorithm can optimize the location of the logistics center for medicines.
Keywords:uncertain suppliers  multi-center location  medicines  tabu search  
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