Title :
Study on Distribution Demand Forecast Based on Grey-Markov Model
Author_Institution :
Fac. of Transp. Eng., Huaiyin Inst. of Technol., Huai´´an, China
Abstract :
Distribution demand forecast is one of the core of the logistics system planning. In this paper, to forecast distribution demand, a Grey Markov Model is presented by means of combining Grey system theory with dispersed Markov Chains theory. The model overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. Results show that the Model has higher accuracy than that of GM model. Empirical studies of distribution demand forecast was done.
Keywords :
Markov processes; forecasting theory; grey systems; random processes; Grey system theory; distribution demand forecast; grey-Markov model; logistics system planning; Accuracy; Biological system modeling; Fitting; Forecasting; Logistics; Markov processes; Predictive models;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5575802
