The Property of Hierarchical Structure in Manufacturing

Ying Xin Zhang; Chao Chen; Jian Mai Shi

doi:10.4028/www.scientific.net/AMR.748.1188

Paper Titles

Hydrologic and Hydraulic Analysis of City Flood Control
p.1168

Study on Decomposition and Decision Simulation System for Carbon Intensity Target Reduction
p.1172

The Technology of Remote Sensing and its Application to Terrestrial Ecosystem Restoration
p.1176

Assembly Line Balancing in Manufacturing Processes: Using Simulation Model
p.1183

The Property of Hierarchical Structure in Manufacturing
p.1188

Tools Management Solution for Small Enterprises
p.1194

AHP Approach for Material Management Operation in a Cutting Edge Electronics Design Manufacturing Company
p.1198

Production System Improvement by Integration of FMEA with 5-Whys Analysis
p.1203

Preventive Maintenance Checklist towards Effective Maintenance System: A Case Study in Semiconductor Industry
p.1208

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 748The Property of Hierarchical Structure in...

The Property of Hierarchical Structure in Manufacturing

Abstract:

Hierarchical structure is one of the most ubiquitous structures in various networked complex systems. In order to investigate the properties of the hierarchical structure, a deterministic hierarchical network model is first proposed. The statistical properties of the constructed networks are also discussed. The simulation results prove that the artificial networks simultaneously possess the small-world and scale-free properties well. This may be useful in furthering study of the topology properties of the hierarchical networks in real life.

You might also be interested in these eBooks

Material and Manufacturing Technology IV

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 748)

Pages:

1188-1193

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.748.1188

Citation:

Cite this paper

Online since:

August 2013

Authors:

Ying Xin Zhang, Chao Chen, Jian Mai Shi

Keywords:

Hierarchical Network, Scale-Free, Small-World, Tree-Like Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. Chen, B. Yu, P. Xu, J. Chen. A new deterministic complex network model with hierarchical structure, Physica A: Statistical Mechanics and its Applications, (2007), pp.707-717.

DOI: 10.1016/j.physa.2007.07.032

Google Scholar

[2] Y. Gu, J. Sun. A tree-like complex network model, Physica A: Statistical Mechanics and its Applications, (2010), pp.171-178.

DOI: 10.1016/j.physa.2009.09.014

Google Scholar

[3] M. E. J. Newman. Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality, Physical review E, (2001), p.016132.

DOI: 10.1103/physreve.73.039906

Google Scholar

[4] D. J. Watts, S. H. Strogatz. Collective dynamics of small-world, networks, Nature, (1998), pp.440-442.

DOI: 10.1038/30918

Google Scholar

[5] S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D. U. Hwang. Complex networks: Structure and dynamics, Physics reports, (2006), pp.175-308.

DOI: 10.1016/j.physrep.2005.10.009

Google Scholar

[6] C. Song, S. Havlin, H. A. Makse. Self-similarity of complex networks, Nature, (2005), pp.392-395.

DOI: 10.1038/nature03248

Google Scholar