舰船电子工程2017，Vol.37Issue(4)：74-76,92,4.DOI:10.3969/j.issn.1672-9730.2017.04.020
基于需求特性的备件分类模型研究
Classification Models of Spare Parts Based on Demand Characteristics
摘要
Abstract
Spare parts classification is the basis for spare parts demand forecasting research.Only on the basis of correct spare parts classification, the research on spare parts demand forecasting can be carried out better.Mainly starting from not commonly used spare parts features the needs of the average demand data, time and extent of changes in demand interval demand for spare parts are rough classified.On the basis of rough classification, average demand interval and coefficient of variation of the two parameters of non-zero values are extracted for classification model needs quantitative analysis, these needs not only to consider the needs of property intermittent and massive resistance, but also consider the unexpected requirements.The sudden demand for property space to expand into account sudden demand will greatly increase demand classification accuracy.The classification method is applied by the classification attribute mapping variables to predict the best method, the best prediction method for a given sequence is obtained by mapping needs.关键词
不常用备件/需求特性/分类/块状需求Key words
rarely used spare parts/demand characteristics/classification/massive demand分类
军事科技引用本文复制引用
任喜,毕鹏,张晓斐..基于需求特性的备件分类模型研究[J].舰船电子工程,2017,37(4):74-76,92,4.基金项目
国家自然科学基金(编号:60478053)资助. （编号:60478053）
