计算机应用研究2017，Vol.34Issue(5)：1419-1422,4.DOI:10.3969/j.issn.1001-3695.2017.05.032
基于影响因素分析和数据重构的备件需求预测
Spare parts demand prediction based on influence factors analysis and data reconstruct
摘要
Abstract
Spare parts were typically demanded in an intermittent fashion,the two fundamental reasons of the predicted deviation were historical data confusion and demand cause unknown.This paper presented a new method of historical data reconstruction,and the influence factors of spare parts demand suitable for discrete manufacturing enterprise.In influence factors recognition,this paper proposed seven influence factors of spare parts from four aspects,own situation of spare parts,equipment operation,the operators quality and unexpected accident,then through the grey correlation analysis for factors screening.Finally,the prediction results are obtained by SVR,and through a series of data validation proves the feasibility and effectiveness of the whole method.关键词
备件需求预测/数据重构/因素分析/灰色关联分析/支持向量回归Key words
spare parts demand prediction/data reconstruction/factors analysis/grey correlation analysis/SVR分类
信息技术与安全科学引用本文复制引用
魏曦初,李文立,邱立鹏..基于影响因素分析和数据重构的备件需求预测[J].计算机应用研究,2017,34(5):1419-1422,4.基金项目
国家自然科学基金资助项目(71431002) （71431002）
