Title :
Application of Grey-Markov Model in Order Forecasting of Distribution Center
Author :
Liu Tiexin ; Jiang WeiJian
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan
Abstract :
The quickly changing market advances higher requirement for distribution center. It is pivotal for improving the flexibility and competence of distribution center to operate the distribution center according to the order, which represents the customers´ demand. Therefore, the precise order forecasting is very important for distribution center. Because the influencing factors of order forecasting are indeterminate, it leads to a big discrepancy between the order forecasting and the reality. This paper has established and applied grey-markov model, which unifies the GM (1, 1) model and the Markov process model, to forecast the order in distribution center. The forecasting result of actual order data demonstrates the forecasting result of grey-markov model is fair accurate and well applicable.
Keywords :
Markov processes; distribution strategy; grey systems; order processing; distribution center; grey Markov process model; order forecasting; Application software; Automation; Demand forecasting; Distributed computing; Economic forecasting; Electronic mail; Fluctuations; Markov processes; Predictive models; Technology forecasting; 1) model; Distribution Center; GM (1; Markov process model; order forecasting;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.321