DocumentCode
1595594
Title
Prediction of logistics volume based on grey model and Markov chain
Author
Liu, Xian-feng ; Wu, Juan ; Li, Qin-zhen ; Hui-jun, Yang
Author_Institution
School of Management, Tianjin University, 300072, China
fYear
2012
Firstpage
1
Lastpage
4
Abstract
Logistics volume prediction plays an important part in logistics system planning, operating and management. In order to rationally predict the logistics volume, we put forward the grey Markov model combining grey system theory and Markov chain. This method synthesizes the advantages of GM forecasting method, which is simple and needs less original data, and of Markov method which possesses the characteristics of random fluctuation. We can obtain the overall developing trend of logistics volume by predicted mean value and maximum status probability.
Keywords
Markov chain; grey theory; logistics volume; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2012
Conference_Location
Puerto Vallarta, Mexico
ISSN
2154-4824
Print_ISBN
978-1-4673-4497-5
Type
conf
Filename
6321872
Link To Document