Management Optimization and Control in Manufacturing Process Based on Knowledge-Flow

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Abstract:

Knowledge management plays an important role in the management and control of product quality. In order to improve the efficiency of knowledge utilization in the product processing and study the knowledge flow with consideration of knowledge providers, a new method based on social network analysis is proposed in this work. Considering the social background of the different knowledge providers, the center degree of each provider could be obtained. With this value of center degree, the position of different kinds of knowledge could be calculated as well. Meanwhile, the use of correlation analysis software could help to optimize the tactic of task. Thus, on the one hand, the using and the flow efficiency of the knowledge in the product processing can be optimized more comprehensively, and on the other hand the management and control process of the product quality could be greatly improved.

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Periodical:

Advanced Materials Research (Volumes 308-310)

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1361-1364

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Online since:

August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Molcho G., Zipori Y., Schneor R., Rosen O., Goldstein D., Shpitalni M., CIRP Annals-Manufacturing Technology, vol. 57(1) (2008), p.153

DOI: 10.1016/j.cirp.2008.03.046

Google Scholar

[2] Zhuge H., Expert Systems with Applications, vol. 23(1) (2002), p.23

Google Scholar

[3] Dou WC., Su F., Cai SJ., Zhang FY., Journal of Computer Research and Development, vol.40(2)(2003),p.342

Google Scholar

[4] Song S., Dong A., Agogino A., Journal of Computing and Information Science in Engineering, vol.2 (2002), p.199

Google Scholar

[5] Wong S. C., Crowder R.M., Wills G.B., Shadbolt N.R., Journal of Computing and Information Science in Engineering, 8: 011001.1-011001.7(2008)

Google Scholar

[6] Cross R., Parker A., Borgatti S. P., 2000, Knowledge Directions, vol.2(1)(2000), p.48

Google Scholar