论文信息 - Complex Network Based Modeling and Analysis of Resource Nodes for MG

Complex Network Based Modeling and Analysis of Resource Nodes for MG

Manufacturing Grid (MG) is one of the most promising manufacturing modes in recent years, which has been proved to be a complex network characterized with scale-free. In this paper, the resource nodes of MG are treated as the nodes of a network and the linkage among each node is treat as the edges or arcs, based on which a three-element model of G = ( V, E, R) is proposed, and a scene of the optimal composition strategy among the 50 candidate nodes aiming at task A is modeled. Next the static parameter of the degree for a resource node and the synchronization performance of the complex network model for the resource nodes are studied. Results of the paper can promote the management of the manufacturing resource nodes and improve the efficiency of sharing MG resources, so as to facilitate the application and popularization of MG.

[1] P. John Clarkson,et al. Change and customisation in complex engineering domains , 2004 .

[2] Dazhe Zhao,et al. Manufacturing Grid: Needs, Concept, and Architecture , 2003, GCC.

[3] Roger Jianxin Jiao,et al. Graph Grammar Based Product Family Modeling , 2002, Concurr. Eng. Res. Appl..

[4] Steven D. Eppinger,et al. A Network Approach to Define Modularity of Components in Complex Products , 2007 .

[5] Yu Jun-he. Network Construction of Components Relationship for Complex Product Family , 2011 .

[6] Thomas Y. Choi,et al. Supply networks and complex adaptive systems: Control versus emergence , 2001 .

[7] Soundar R. T. Kumara,et al. Survivability of multiagent-based supply networks: a topological perspect , 2004, IEEE Intelligent Systems.

[8] Yu Li,et al. Study on Community Structures in Manufacturing Grid and the Algorithm for Community Partition of its Resource Nodes , 2014 .

[9] A. Barabasi,et al. Network Theory--the Emergence of the Creative Enterprise , 2005, Science.

[10] M E Newman,et al. Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.