Multi-center Location of Medicine Logistics with Uncertain Suppliers

doi:10.12005/orms.2022.0106

Operations Research and Management Science ›› 2022, Vol. 31 ›› Issue (4): 8-13.DOI: 10.12005/orms.2022.0106

• Theory Analysis and Methodology Study • Previous Articles Next Articles

Multi-center Location of Medicine Logistics with Uncertain Suppliers

YUAN Zhi-yuan¹, GAO Jie¹, YANG Cai-jun²

1. School of Management, Xi’an Jiaotong University, Xi’an 710049, China;
2. School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China

Received:2020-05-01 Online:2022-04-25 Published:2022-05-13

供应商不确定情景下药品物流多中心选址优化研究

袁志远¹, 高杰¹, 杨才君²

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

通讯作者: 杨才君(1986-),女,四川人,博士,副教授,研究方向:药品政策研究。
作者简介:袁志远(1983-),男,河南人,博士研究生,研究方向:供应链优化管理;
基金资助:
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

Abstract

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.

Key words: uncertain suppliers, multi-center location, medicines, tabu search

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

CLC Number:

0224

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.

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.

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Multi-center Location of Medicine Logistics with Uncertain Suppliers

供应商不确定情景下药品物流多中心选址优化研究

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