DocumentCode
532410
Title
Notice of Retraction
Evolution modeling of supply chain network
Author
Fangfeng Zhang ; Juntao Li ; Xixi Yin
Author_Institution
Sch. of Inf., Beijing WuZi Univ., Beijing, China
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the mechanism of supply chain network construction in particular partner selection, simulate the evolution of the supply chain network formation process using of multi-agent simulation. And base on the complex network theory we give the statistical analysis of the final supply chain network under different partner selection mechanism. We obtain some interesting results: With the assumption that probability of having cooperation depended on cooperation history, the statistical properties of supply chain has a stable solution with assortativity character.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the mechanism of supply chain network construction in particular partner selection, simulate the evolution of the supply chain network formation process using of multi-agent simulation. And base on the complex network theory we give the statistical analysis of the final supply chain network under different partner selection mechanism. We obtain some interesting results: With the assumption that probability of having cooperation depended on cooperation history, the statistical properties of supply chain has a stable solution with assortativity character.
Keywords
complex networks; multi-agent systems; probability; statistical analysis; supply chains; complex network theory; multi-agent simulation; partner selection mechanism; probability; statistical analysis; supply chain network; Correlation; assortativity; cluster; complex networks; degree; evolution modeling; supply chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620483
Filename
5620483
Link To Document