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