摘要
针对间断性需求备件历史需求数据缺乏、含有大量零值,以致难以进行预测的问题,应用灰色系统理论,先后建立了间断性需求备件预测的非等间隔GM(1,1)模型和包络GM(1,1)模型,并得到了需求预测灰区间,最后进行了计算与实例仿真。
In order to deal with the difficulty in forecasting the intermittent demand of spare parts resulting from the insufficiency of historical demand data and the fact that the available data contains a large number of zero value, the paper use the gray system theory to formulate a non-equidistance GM( 1,1 ) and an envelope GM(1,1 ) model and obtain the gray interval of the forecasting. Finally, an empirical simulation study is used to verify the utility of the method.
出处
《物流技术》
2011年第12期138-141,共4页
Logistics Technology
基金
湖北省自然科学基金项目(2006ABA009)
关键词
备件
间断性需求预测
灰色系统理论
灰区间
spare parts
forecasting of intermittent demand
gray system theory
gary interval