摘要
随着技术水平提升及生活水平的提高,家电产品的更新换代也越来越快,废旧家电的末端治理问题亟待优化。以北京市为例,运用等维灰数递补动态预测方法研究4类主要家电的销量,发现自2010年起,北京市的家电销售量迅猛增长,并在此基础上预测了2013—2016年废旧家电的产生量,并就规范当前回收体系提出可行性建议。
With the improvement of technology level and living standards, household appliance product renewal is much faster. Therefore, the end treatment of wasted household appliance needs optimization. Taking Beijing City as an example, using the method of dynamic forecasting with recursive compensation by gray numbers of identical dimensions to predict the sale amount of 4 kinds of major household appliance. The result shows that the sales grow fast. Base on the sale data, the amount of wasted household appliances is analyzed from 2013 to 2016. In end, some suggestions are given to optimize the recovery system.
出处
《再生资源与循环经济》
2013年第12期24-27,共4页
Recyclable Resources and Circular Economy
基金
北京市重点学科"资源
环境及循环经济"交叉学科项目(NO.0330005412002)
北京工业大学研究生科技基金资助项目(ykj2012-8941)
关键词
废旧家电
等维灰数递补动态预测法
回收体系
wasted household appliance
dynamic forecasting with recursive compensation by gray numbers ofidentical dimensions
recovery system
