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基于时间序列模型在物流需求预测中的应用
引用本文:田根平,曾应昆. 基于时间序列模型在物流需求预测中的应用[J]. 物流科技, 2007, 30(9): 96-99
作者姓名:田根平  曾应昆
作者单位:昆明理工大学,云南,昆明,650224
摘    要:本文采用时间序列模型进行物流需求预测,用实例从数据平稳性的判断,平稳化、标准化,建模,经模型的识别、定价、参数估计和检验,到预测及误差和置信区间的计算,详细地说明了时间序列模型在物流需求预测中是如何应用的。结果表明该ARMA模型能够较好地拟合并可获得较高的中短期预测精度。

关 键 词:物流  物流需求预测  时间序列模型
文章编号:1002-3100(2007)09-0096-04
收稿时间:2007-01-11
修稿时间:2007-01-11

Application of Logistics Requirement Forecast Based on Time-series
TIAN Gen-ping,ZENG Ying-kun. Application of Logistics Requirement Forecast Based on Time-series[J]. Logistics Management, 2007, 30(9): 96-99
Authors:TIAN Gen-ping  ZENG Ying-kun
Affiliation:Kunming University of Science and Technology, Kunming 650224, China
Abstract:We carry on logistics demand forecast by taking time-series model and explain its applicationto logistics demand forecast by justment of data stationary,stead,standardization,modeling,discernment,making steps.parameter estimate and examination to predict,error and calculationof confidential interval.The reason shows that the ARMA model can fit and get better prediction accuracy in the medium and short-time term.
Keywords:logistics  logistics requirement forecasting  time-series model
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