考虑居民选择行为的过期药品逆向物流网络设计

发布时间：2018-11-20 15:39

【摘要】：过期药品逆向物流网络设计成为医药安全领域迫切需要解决的关键问题.本文考虑居民的选择行为,引入回收企业对居民区以及政府对回收企业的补贴激励,构建了基于双层规划的过期药品逆向物流网络优化模型,并设计了求解该模型的分层遗传算法,通过算例得到了不同方案下过期药品逆向物流由分散到集中的网络结构.此外,考虑两种激励策略及模型参数的影响,设计四个实验进行分析讨论,研究表明:同时加大对医药企业及居民区的补贴策略更有利于调动企业及居民参与回收过期药品的积极性;企业成本与居民区成本存在此消彼长的相互作用关系;单位药品运输成本对居民区成本有较大影响,而居民区拥有过期药品的数量对企业和居民区成本均有明显影响.
[Abstract]:The reverse logistics network design of expired drugs has become a key problem in the field of pharmaceutical safety. In this paper, considering the residents' choice behavior and introducing the subsidy incentives of recycling enterprises to residential areas and government to recycling enterprises, an optimization model of reverse logistics network of expired drugs based on bilevel programming is constructed. A hierarchical genetic algorithm is designed to solve the model. The network structure of reverse logistics of expired drugs is obtained by examples. In addition, considering the influence of two kinds of incentive strategies and model parameters, four experiments are designed to analyze and discuss. The research shows that increasing the subsidy strategy to pharmaceutical enterprises and residential areas is more helpful to arouse the enthusiasm of enterprises and residents to participate in the recovery of expired drugs; There is a mutual relationship between the cost of enterprise and the cost of residential area, the cost of unit drug transportation has great influence on the cost of residential area, and the quantity of expired drugs in residential area has obvious influence on the cost of enterprise and residential area.
【作者单位】：上海海事大学物流研究中心;上海海事大学经管学院;
【基金】：教育部博士点基金项目(20123121110004) 上海海事大学研究生创新基金项目(2013ycx061) 上海海事大学优秀博士学位论文培育项目(2014bxlp002)
【分类号】：R95;TP18

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