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
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