Knowledge-Integration Model for Networked Manufacturing

Abstract:

In order to maximize knowledge sharing and reuse in networked manufacturing process and improve the rapidity and reliability of decision-making, a knowledge-integration model and its implementation methods are proposed in this paper. First, the requirement for knowledge integration in networked manufacturing is analyzed. On this basis, a knowledge-integration model is built, and then three key technologies are studied, namely knowledge representation and organization based on ontology, knowledge correlation analysis based on complex network and knowledge supply based on decision-making context. This model provides an effective way to realize the optimum distribution of knowledge in networked manufacturing process and to improve the efficiency of decision-making process.

• Periodical: Advanced Materials Research (Volumes 314-316)
• Pages: 2027-2032
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.314-316.2027
• Online since: August 2011
• Authors: Jiao Jian Liu, Wen He Liao, Yu Guo, Wen Bin Wang
• Keywords: Complex Network, Knowledge Integration, Networked Manufacturing, Ontology

References

[1] W. W. Shi and H. S. Yan: Computer integrated manufacturing systems Vol.12(2006),P.271(In Chinese)

[2] Q. F. Wang, C. P. Yan and F. Liu: Computer integrated manufacturing systems Vol.15(2009),P.699(In Chinese)

[3] T. M. Chen, R. S. Gong and S. H. Huang: Journal of systems engineering and electronics Vol.19(2008),P.1277

[4] M. R. Catherine, A. B. Stevels and K. Ishii: Journal of Electronics Manufacturing Vol.11(2002),P.185

[5] M. R. Catherine, K. Ishii and A. B. Stevels: Research in Engineering Design Vol.13(2002),P.83

[6] H. Arman, A. Hodgson and N. Z. Gindy Nabil: International Journal of Industrial and Systems Engineering Vol.5(2010),P.377

[7] L. Matthieu:Computer Communications Vol.34(2010),P.607

[8] D. F. Luciano :Physical Review E - Statistical, Nonlinear, and Soft Matter Physics Vol.74(2006)