DocumentCode
525366
Title
Study Oil logistics demand prediction based on grey system
Author
Lin, Lu
Author_Institution
Sch. of Bus. Adm., Guizhou Coll. of Finance & Econ., Guiyang, China
Volume
1
fYear
2010
fDate
25-27 June 2010
Abstract
With the development of economics the demand of oil logistics has also rapidly increased, grasping the variation of oil companies´ logistics demand timely and accurately has a great significance on smooth operation of the national economy. This paper takes advantage of grey model of prediction quantitatively research on the logistics demand of oil companies, the examples show that the model of prediction has a higher accuracy.
Keywords
demand forecasting; grey systems; industrial economics; logistics; petroleum industry; demand prediction; grey model; grey system; national economy; oil company; oil logistics; Companies; Demand forecasting; Economic forecasting; Educational institutions; Fuel economy; Logistics; Petroleum; Power generation economics; Predictive models; Random number generation; grey system; logistics demand; oil; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7164-5
Electronic_ISBN
978-1-4244-7164-5
Type
conf
DOI
10.1109/ICCDA.2010.5541286
Filename
5541286
Link To Document