DocumentCode :
2005796
Title :
Autonomic logistics information sharing analysis based on small-world networks
Author :
Xu, Yuguo ; Qiu, Ling ; Liu, Guanjun
Author_Institution :
Mechatron. & Autom. Sch., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
24-25 May 2011
Firstpage :
1
Lastpage :
6
Abstract :
The information sharing within autonomic logistics system is a critical challenge. In this paper the information flow network is modeled from the complex network viewpoint. And four information sharing modes are assorted based on the information classification of equipment maintenance logistics system. The metrics architecture on evaluating information flow network is constructed and the connotations about all metrics are outlined. And then the information sharing mechanism and methodology are presented based on improved small-world network. Finally the information sharing of one maintenance logistics system is provided to illustrate the feasibility of the proposed method. The result shows that the proposed method can analyze the efficiency of diverse information sharing modes, and can be used as a support in information sharing mode decision.
Keywords :
complex networks; data flow analysis; logistics data processing; maintenance engineering; pattern classification; peer-to-peer computing; complex network; equipment maintenance; information classification; information flow network; information sharing; maintenance logistics system; metrics architecture; small-world networks; Engines; Logistics; Maintenance engineering; autonoimoic logistics; complex networks; information sharing; small-world network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-7951-1
Electronic_ISBN :
978-1-4244-7949-8
Type :
conf
DOI :
10.1109/PHM.2011.5939518
Filename :
5939518
Link To Document :
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