DocumentCode :
479696
Title :
Application of Grey Jump Model to forecast fluctuating inventory demand
Author :
Yu, Lin ; Fu, Shaochuan ; Wang, Yun ; Fan, Yuqing
Author_Institution :
Center for Infrastruct. Res., Beijing Jiaotong Univ., Beijing
Volume :
1
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1209
Lastpage :
1214
Abstract :
This paper proposes a model that is grey jump model based on the central-approximant grey model and liner regression model. Because some products are characteristic of short life-cycle and large demand-fluctuation, it carries the forecast on jumping points with Central-approximant Grey Model and other non-jumping points with liner regression model. Finally, it puts these two parts together to forecast and testifies that the model has high precision as well as coordinates the practice well. So this paper provides an effective method for forecasting on the inventory demand which fluctuate sharply.
Keywords :
forecasting theory; grey systems; regression analysis; stock control; central-approximant grey jump model; inventory demand forecasting; liner regression model; Costs; Demand forecasting; Differential equations; Economic forecasting; Extrapolation; Fluctuations; Inventory control; Predictive models; Smoothing methods; Testing; grey jump model; inventory demand; jumping points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
Type :
conf
DOI :
10.1109/SOLI.2008.4686583
Filename :
4686583
Link To Document :
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