摘要
我国的手机行业发展迅速,随之带来的则是大量的废旧手机,这些废旧手机有着丰富的贵金属,合理回收并利用可以带来收益、减少环境污染。但手机的回收量有着高度不确定性,这对企业回收以及优化逆向物流的网络带来很大挑战。基于此,文章通过改良的灰色预测模型对废旧手机回收量进行预测,并对其空间分布进行了研究,为后续废旧手机逆向物流网络的设计与优化提供一定参考。
The rapid development of China's mobile phone industry brings a large number of used mobile phones,which are rich in precious metals.Recycling them properly can bring benefits and reduce environmental pollution.However,the amount of mobile phone recycling is highly uncertain,which brings great challenges to enterprises'recycling and optimization of reverse logistics network.Based on that,this paper predicted the recycling amount of used mobile phones by using the improved grey prediction model,and studied its spatial distribution,which provided some reference for the design and optimization of the reverse logistics network of used mobile phones in the future.
作者
邹博
张绪美
ZOU Bo;ZHANG Xumei(School of Automobile and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430065,China)
出处
《物流科技》
2022年第2期60-64,共5页
Logistics Sci-Tech
关键词
灰色预测
废旧手机
空间分布
权重优化
grey prediction
used mobile phones
spatial distribution
weight optimization
