A turnover volume forecasting model of huaian based on information renewal grey theory

Author

Luo, Jianfeng ; Zhou, Lingyun

Author_Institution

Fac. of Transp. Eng., Huaiyin Inst. of Technol., Huaian, China

fYear

2011

fDate

24-26 June 2011

Firstpage

41

Lastpage

43

Abstract

It is important for logistics-planners to comprehensively measure the scale of logistics, but the scale is difficult to predict. A prediction method of turnover volume based on grey theory is studied. According to the deficiency of ordinary GM(1,1) model, an information renewal GM(1,1) predicting model of turnover volume is established. Moreover the model is applied to predict the turnover volume of huaian city. The result shows that the precision of the model is comparatively higher and its prediction error is comparatively less.

Keywords

forecasting theory; grey systems; logistics; planning; Huaian city; information renewal GM(1,1) predicting model; information renewal grey theory; logistics planner; prediction method; turnover volume forecasting model; Accuracy; Computational modeling; Forecasting; Industries; Logistics; Predictive models; Solid modeling; forcast; information renewal grey theory; model; turnover volume;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5964141

Filename

5964141