Title :
Notice of Retraction
Research on the Gray Calamity Forecasting of the Enterprise´s Stock Demand Based on GM (1,1)
Author_Institution :
Dept. of Sci. Res., Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Inventory management is an important part of the operation management of enterprises, which is based on the amount of sales un-house, but the uncertainty of customer demands is the foremost problem perplexing managers. In the management of the enterprise´s production, the increasingly identified stock management is confronted with the puzzling question that the stock demand is unsteady. Taking advantage of the widely recognized gray calamity, this article established a gray calamity model of the stock demand, groping for the new thought of solving this puzzling question. The demonstrative result indicates that this method can precisely forecast the moment of the calamity of the stock demand.
Keywords :
demand forecasting; forecasting theory; grey systems; industrial economics; sales management; stock control; time series; GM; customer demand; enterprise operation management; enterprise production management; enterprise stock demand; gray calamity moment forecasting model; grey model; inventory management; sales un-house; stock management; time series; Demand forecasting; Economic forecasting; Information technology; Inventory management; Marketing and sales; Predictive models; Production; Technology forecasting; Technology management; Uncertainty; 1); GM(1; forecast of calamity; stock demand;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.178
