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
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;
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
Print_ISBN :
978-1-4673-4497-5