DocumentCode
1944603
Title
Complex Supply Networks Evolving Model: Complex Networks perspective
Author
Li, Gang ; Xuan, Qi ; Song, Zhihuan ; Jin, Xiaogang
Author_Institution
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
fYear
2010
fDate
15-16 Nov. 2010
Firstpage
511
Lastpage
516
Abstract
Supply networks modeling has gained tremendous attention in the field of supply chain during last decades. However, most existent literatures in supply networks do not pay much attention to the topological characteristics, which, as revealed by Complex Networks, have close relations with their behaviors in various complex systems. This paper introduces a novel topological structure evolving model of complex supply networks from the perspective of Complex Networks. After investigating supply networks typical structural characteristics and formation mechanisms, Complex Supply Networks Evolving Model (CSNEM) are proposed to mimic these structural characteristics. Then, three statistical properties are investigated. To validate CSNEM, three real supply chain networks are introduced. The results indicate that CSNEM is consistent with the real-world supply networks. Further the relations between these properties and supply networks macro behaviors i.e. rapid response capability and robustness are discussed. This work will provide managers and researches a beneficial insight on macroscopic structures characteristics as well as a helpful understanding on the relations between macroscopic structures and global behaviors in supply networks.
Keywords
statistical analysis; supply chains; complex supply networks evolving model; statistical properties; supply chain; supply networks macrobehaviors; supply networks modeling; Adaptation model; Analytical models; Complex networks; Robustness; Silicon; Supply chains; Vehicle dynamics; Complex networks; Evolving model; Global topological structures; Supply networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6791-4
Type
conf
DOI
10.1109/ISKE.2010.5680780
Filename
5680780
Link To Document