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