Title :
Research on emergency supplies demand forecasting model
Author_Institution :
Coll. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In the analysis of emergency supplies on the basis of demand characteristics, through the nearest neighbor method and combination of case-based reasoning, fuzzy reasoning and case-based reasoning combines two kinds of emergency supplies for the establishment of demand forecasting model and forecasting methods used in conjunction with empirical analysis, an example is, pointing out that the feasibility of forecasting methods, emergency supplies for emergency needs by providing fast and feasible prediction methods.
Keywords :
Demand forecasting; Disaster management; Fuzzy reasoning; Fuzzy sets; Logistics; Mathematical model; Predictive models; Project management; Supply chain management; Technology management; demand forecasting; emergency supplies; model;
Conference_Titel :
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7653-4
DOI :
10.1109/ICINDMA.2010.5538179