摘要
为研究服装库存控制的不足,选取存货问题严重的美邦作为研究对象,利用数据挖掘等技术,通过多重与多标准ABC分类法将服装进行分类。并根据不同分类,建立灰色系统预测模型,利用MATLAB软件进行求解,并对概率和误差进行检验,证明了预测模型对于服装订货策略的适用性。
In order to study the shortcomings of clothing inventory control,this paper selects Metersbonwe with serious inventory problems as a research object,and uses data mining and other technologies to classify the clothing through multi level and standard ABC classification methods.According to different classifications,the gray system prediction model is established,and the MATLAB software is used to solve,and the probability and error are checked.The predictive model is proved to suit the applicability of clothing ordering strategies.
作者
袁媛
高波
YUAN Yuan;GAO Bo(Department of Transportation and Logistics,Taiyuan University of Science and Technology,Taiyuan 030024,China)
出处
《物流工程与管理》
2022年第4期29-32,共4页
Logistics Engineering and Management
基金
山西省自然科学基金(201901D111246)。
关键词
数据驱动
多重与多标准ABC分类法
灰色预测
订货策略
data driven
multi level and standard ABC classification method
grey prediction
ordering strategy
