DocumentCode
3453448
Title
A Study on inter-enterprise quality control function self-organization reconfiguration based fractal networks
Author
Qin, Yongtao ; Zhao, Liping ; Yao, Yiyong ; Xu, Damin
Author_Institution
Sch. of Mech. Eng., Xi ´´an Jiao Tong Univ., Xi´´an
fYear
2007
fDate
15-18 Dec. 2007
Firstpage
1733
Lastpage
1737
Abstract
With the increase of product complexity, product quality assurance is no longer completed by isolated enterprise internal quality control. To meet the demand of inter-enterprise quality control function fast reconfiguration, based on fractal and complex networks theory, inter-enterprise quality control fractal networks model is constructed by the fractal characteristic analysis of inter-enterprise quality control function. The self-organization characteristic of this model is researched on the basis of self-organization principle, and the self-organization strategy and the capability evaluation of inter- enterprise quality control function fast reconfiguration have been discussed with the example of the partner enterprises´ self- organization selection in partner enterprises layer of this model. Finally, based on genetic algorithm, the realization method of self-organization is researched, and the result can provide guidance for inter-enterprise quality control.
Keywords
genetic algorithms; quality control; complex networks theory; fractal networks; genetic algorithm; interenterprise quality control function; product complexity; product quality assurance; self-organization reconfiguration; Biomimetics; Complex networks; Fractals; Genetic algorithms; Laboratories; Manufacturing systems; Quality control; Quality management; Robots; Systems engineering and theory; Fractal; Inter-enterprise; Quality Control; Self-organization;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1761-2
Electronic_ISBN
978-1-4244-1758-2
Type
conf
DOI
10.1109/ROBIO.2007.4522427
Filename
4522427
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