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
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;
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
DOI :
10.1109/PHM.2011.5939518