Title :
A comprehensive inventory forecasting model based on data mining of demand system
Author :
De, Xia ; Zheng Zhaoxia
Author_Institution :
Manage. Sch., Wuhan Univ. of Technol., Wuhan, China
Abstract :
There are complex grey correlations among different demands of products as well as ones between demands and inventories. In terms of the nature of huge data reflecting this tough grey system in market, we manage to design a comprehensive inventory forecasting model, which is based on the data mining of market demand and inventory serial data. Grey theory is applied to reserve the essence of system while a data mining method is designed to screen the serial data to target critic ones as basis to inventory forecast. The model can produce valuable information about the tendency of inventory in near future.
Keywords :
data mining; grey systems; inventory management; complex grey correlations; comprehensive inventory forecasting model; data mining; demand system; grey theory; Communication system control; Computer science; Data mining; Demand forecasting; Design methodology; Economic forecasting; Inventory management; Predictive models; Technology forecasting; Technology management; Correlation; Data mining; Grey system; Inventory forecast;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5268099