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The Forecasting Models for Spare Parts Based on ARMA

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3 Author(s)
Ren Jiafu ; Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Zhou Zongfang ; Zhang Fang

According to the historical data of timestimes Factory, we use ARIMA time series to model how to predict the demand for spare parts of timestimes 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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009