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2009 WRI World Congress on Computer Science and Information Engineering
The Forecasting Models for Spare Parts Based on ARMA
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
According to the historical data of ×× Factory, we use ARIMA time series to model how to predict the demand for spare parts of ×× Factory. The forecast model test results show that the model can better predict, with high accuracy. On this basis, this article predicts the demand for spare parts of next year.
Index Terms:
ARIMA, Time Series, Demand forecast
Citation:
Ren Jiafu, Zhou Zongfang, Zhang Fang, "The Forecasting Models for Spare Parts Based on ARMA," csie, vol. 4, pp.499-503, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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