DocumentCode :
2878634
Title :
Demand Prediction of LRU Parts with Backorder for SRU
Author :
Guo Feng ; Liu Chen-yu ; Xu Feng-Lei ; Li Wei-Ling
Author_Institution :
Naval Aeronaut. Eng. Inst., Qingdao, China
Volume :
2
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
530
Lastpage :
532
Abstract :
For the problem that the demand of vari-indenture Recoverable Parts did not submit to the Poisson distribution, put forward the Negative binomial distribution to improve the forecasting accuracy. Used the fill rate to estimate the supply degree of Recoverable Parts, the restricted total security funds and the lowest fill rate as the constraint conditions, searching for the fill rate maximization as the objective function, established the demand forecasting model of Recoverable Parts, through the marginal analysis to solve it. The example proves that the model has good prediction effect.
Keywords :
binomial distribution; demand forecasting; maintenance engineering; optimisation; pricing; LRU parts; Poisson distribution; SRU backorder; constraint condition; demand forecasting model; demand prediction; fill rate maximization; forecasting accuracy; line-replaceable unit; marginal analysis; negative binomial distribution; objective function; restricted total security funds; shop-replaceable unit; supply degree estimation; vari-indenture recoverable parts; Aerospace electronics; Atmospheric modeling; Maintenance engineering; Optimization; Pipelines; Predictive models; demand prediction; Recoverable Parts; Negative binomial distribution; vari-indenture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.265
Filename :
6405978
Link To Document :
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