基于影响因素分析和数据重构的备件需求预测.

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. [ABSTRACT FROM AUTHOR]