Title :
Application of grey system theory to regional logistics demand prediction
Author_Institution :
Business School, Jilin Vocational College of Industry and Technology, China
Abstract :
It is very important to predict regional logistics demand. The GM(1,1) model of the logistics demand prediction is set up according to grey system theory. From the tested results calculated by some indexes, such as reliability, association degree, correlative value of posterior error and micro-error probability, the model of grey system theory for logistics demand is examined and certified. The prediction of the freight volume and the freight turnover in Luoyang city illustrates the effectiveness of the model. The prediction can offer a reference for the decision making with regards to the program of logistics industry.
Keywords :
demand prediction; grey system theory; index system; regional logistics;
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
Print_ISBN :
978-1-4673-4497-5