Multilevel Optimization Evaluation of Hardware Product Quality Based on Extension Correlation Analysis

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In order to evaluate the quality of hardware products comprehensively and objectively, an evaluation model of extension multilevel optimization about hardware products has been established. The model was based on analyzing the quality management of hardware enterprises and took the hardware valve as an example. The solving process firstly used scale index and the first evaluation in restricting and reducing the scope of evaluation so as to improve solving efficiency. Then the values of correlation function, correlation degree, standard correlation degree and the optimization were calculated. Finally the comprehensive evaluation results could be got objectively through comparative analyzing these values. The results indicated that higher degree of satisfaction program would be obtained by applying the multilevel optimization evaluation method of product. And the products quality largely depended on its production stage. Thereby it aided the production managers to do the right choice.

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276-281

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] X.C. Lu: Mould Quality Evaluation and Research of Mould Quality Management Design Support System. Guangzhou: South China University of Technology (2004).

Google Scholar

[2] A.A. de Lima, F.P. Freeland and P.A. de Jesus: On the Quality Assessment of Sound Signals. IEEE International SYMP on Circuits and Systems, Forum Vol. 1-10 (2008), pp.416-419.

Google Scholar

[3] M. Alioto, L. Fondelli, S. Rocchi: Analysis and Performance Evaluation of Area-efficient True Random Bit Generators on FPGAs. Proceedings of 2008 IEEE International SYMP on Circuits and Systems, Forum Vol. 1-10 (2008), pp.1572-1575.

DOI: 10.1109/iscas.2008.4541732

Google Scholar

[4] L.Y. Zhai, L.P. Khoo, S.C. Fok: Feature extraction Using Rough Set Theory and Genetic Algorithms-an Application for the Simplification of Product Quality Evaluation. Computers & Industrial Engineering, 2002, 43(4), pp.661-676.

DOI: 10.1016/s0360-8352(02)00131-6

Google Scholar

[5] J.M. Cao, X. Gao: Fuzzy Syntheses Evaluation of Supply Chain Partners of Estate. Journal of Tongji University (Natural Science), 2005, 33(6), pp.843-847.

Google Scholar

[6] C.Y. Yang, W. Cai: Extension Project (Science Press Publications, Beijing 2007).

Google Scholar

[7] Y.W. Zhao: Extension Thought Method of the Trouble Diagnosis and Its Application. Journal of Mechanical Engineering, 2001, 37(9), pp.39-43.

Google Scholar

[8] Y.W. Zhao, N. Su: Extension Design (Science Press Publications, Beijing 2010).

Google Scholar

[9] M.H. Wang: A Novel Extension Method for Transformer Fault Diagnosis. IEEE Trans. on Power Delivery, 2003, 18(1), pp.164-169.

DOI: 10.1109/tpwrd.2002.803838

Google Scholar

[10] F.J. Meng, J.T. Deng: Extensive Comprehensive Evaluation Approach for Partner Selection. Computer Integrated Manufacturing Systems, 2005, 11(6), pp.869-874.

Google Scholar