DocumentCode :
675638
Title :
The application of grey forecasting model based on excel modeling and solving in logistics demand forecast
Author :
Jian-Jun Zhou
Author_Institution :
Dept. of E-commerce & Econ., Sichuan Top IT Vocational Inst., Chengdu, China
fYear :
2013
fDate :
17-19 Dec. 2013
Firstpage :
362
Lastpage :
365
Abstract :
Logistics demand forecast has an important role to resource optimization and enterprise competitiveness. Grey forecasting model has features such as low sample requirements, high forecast accuracy, it is suitable for forecasting the logistics demand. However, the complexity of the calculation process hindered its promotion and application. This paper briefly introduced the theory of gray model and the processing procedure of GM (1,1) model, then put forward to use the general software Excel to model and solve grey steps forecasting model, further made a detailed description on and methods combined with a case. The analysis of forecast results indicates that this solving method is accurate and efficient.
Keywords :
demand forecasting; grey systems; logistics data processing; Excel modeling; GM(1,1) model; enterprise competitiveness; grey steps forecasting model; logistics demand forecast; resource optimization; Analytical models; Arrays; Data models; Forecasting; Logistics; Predictive models; Presses; Excel; Logistics; demand; forecasting; grey model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013 10th International Computer Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2445-5
Type :
conf
DOI :
10.1109/ICCWAMTIP.2013.6716667
Filename :
6716667
Link To Document :
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