DocumentCode :
2955329
Title :
Research of Logistics Inventory Optimization and Information Processing Based on Gray Clustering Decision
Author :
Zhao, Feiyan ; Yu, Junle
Author_Institution :
Coll. of Comput. Sci. & Software, Tianjin Polytech. Univ., Tianjin, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
With the development of modern logistics information to speed up the process, logistics support needs of decision-making more and more, however, there are often many uncertainties in the problems of the inventory decision-making in the reality. In this paper, inventory management theory and methods were studied and the use of fuzzy mathematics, the gray system theory improved the classification and the implementation process of the inventory management, which improve the traditional inventory management technical methods.
Keywords :
decision making; fuzzy set theory; grey systems; inventory management; logistics; optimisation; pattern clustering; fuzzy mathematics; gray clustering decision; gray system theory; information processing; inventory decision-making; inventory management theory; logistics information; logistics inventory optimization; logistics support; Customer satisfaction; Data mining; Decision making; Indexes; Industries; Inventory management; Logistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997727
Filename :
5997727
Link To Document :
بازگشت