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装甲装备周转备件需求最优组合预测
引用本文:孟祥辉,徐宗昌.装甲装备周转备件需求最优组合预测[J].火力与指挥控制,2012,37(5):106-109.
作者姓名:孟祥辉  徐宗昌
作者单位:1. 解放军91872部队,北京 102442;装甲兵工程学院,北京 100072
2. 装甲兵工程学院,北京,100072
基金项目:装备技术基础基金资助项目
摘    要:针对单项统计预测模型存在的不足,提出采用组合预测方法进行周转备件需求预测的观点,并建立了周转备件需求最优组合预测模型。首先,介绍了组合预测的基本原理和常用的周转备件单项预测方法。在综合权衡预测结果精度和稳健性的前提下,建立了基于预测误差绝对值和最小的周转备件最优组合预测模型,并给出了确定各加权系数和预测评价效果的方法。最后,结合案例验证了该组合预测方法的有效性和优越性。

关 键 词:装甲装备  周转备件  组合预测

Research on Optimum Combination Forecasting of Armored Equipment Turnover Parts Demand
MENG Xiang-hui , XU Zong-chang.Research on Optimum Combination Forecasting of Armored Equipment Turnover Parts Demand[J].Fire Control & Command Control,2012,37(5):106-109.
Authors:MENG Xiang-hui  XU Zong-chang
Institution:1.Unit 91872 of PLA,Beijing 102442,China,2.Armored Force Engineering,Beijing 100072,China)
Abstract:Aiming at shortage of monomial statistic forecasting model,a point was presented that combination forecasting method is adopted to forecast turnover parts demand in this paper,and optimal combination forecasting model is founded.Firstly,the paper introduces basic principles of combination forecasting and common monomial statistic forecasting model.On the basis of forecasting result precision and steadiness the optimal combination forecasting model is founded based on forecasting error absolute value and minimal turnover parts,and these methods are presented that can confirm evevy weighting coefficient and forecast evaluation result.Finally,its validity and superionty are tested by the combination with the cases.
Keywords:armored equipment  turnover parts  combination forecasting
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