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作 者:吴佳佳
机构地区:[1]上海工程技术大学管理学院,上海
出 处:《运筹与模糊学》2023年第4期3265-3276,共12页Operations Research and Fuzziology
摘 要:报废组件逆向物流网络的最优布局问题是实现报废光伏组件资源化回收的关键。为设计符合未来报废光伏数量的回收网络,提出了一种基于报废量预测并以成本最小化为目标的混合整数规划模型,使用lingo软件进行求解,得到节点选址和各节点间流量分配的布局优化方案。以安徽省为例,建立报废光伏组件逆向物流网络,从而验证了模型的有效性。结果表明,回收中心和拆解处理中心的选址为合肥、蚌埠、淮南、芜湖、铜陵;再制造中心的选址是阳光新能源、安徽大恒能源、安徽天大;垃圾处理中心的选址为安徽浩悦、光大绿色、马鞍山澳新、铜陵市正源。该模型符合第三方回收商的效益目标,实现了报废光伏组件逆向物流网络设施选址和节点流量分配的成本最优化。The optimal layout of the reverse logistics network of scrapped modules is the key to realizing the resource recovery of end-of-life PV modules. In order to design a recovery network that meets the future scrap PV quantity, a hybrid integer programming model based on scrap quantity prediction and cost minimization is proposed, and the layout optimization scheme of node site selection and traffic distribution between nodes is obtained by using lingo software. Taking Anhui Province as an example, a reverse logistics network for scrapped PV modules was established, which verified the effectiveness of the model. The results showed that the sites of the recycling center and the dismantling and processing center were Hefei, Bengbu, Huainan, Wuhu and Tongling. The sites of the remanufacturing center are Sunshine New Energy, Anhui Daheng Energy, Anhui Tianda;The garbage treatment center is located in Anhui Haoyue, Everbright Green, Maanshan Aonz, and Tongling Zhengyuan. This model meets the benefit objectives of third-party recyclers and optimizes the cost of facility siting and node traffic allocation of end-of-life PV modules reverse logistics network.
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