DocumentCode :
1960124
Title :
Spares demand combined forecasting based on grey model and exponential smoothing
Author :
Guo Feng ; Zhou Bin ; Liu Chen-yu ; Wang Heng-xin
Author_Institution :
Naval Aeronaut. Eng. Inst., Qingdao, China
Volume :
2
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
300
Lastpage :
302
Abstract :
According to the problem that the application and order of Spares is not reasonable, propose to make the spares demand forecasting based on the combined forecasting method, comprehensively utilizing the grey model, linear exponential smoothing, secondary exponential smoothing and cubic exponential smoothing to optimize the results of these methods, solved it by the nonlinear programming method. The prediction results show that the model predicts accurately, with high utility and promotion.
Keywords :
defence industry; forecasting theory; grey systems; maintenance engineering; nonlinear programming; cubic exponential smoothing; grey model; linear exponential smoothing; nonlinear programming method; secondary exponential smoothing; spares demand combined forecasting method; Forecasting; Indexes; Predictive models; Smoothing methods; combined forecasting; exponential smoothing; grey model; spares demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-1932-4
Type :
conf
DOI :
10.1109/ICIII.2012.6339838
Filename :
6339838
Link To Document :
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