Application Study on Multi-Vary Analysis

Xiaomin Xu

doi:10.4236/mme.2013.31005

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Modern Mechanical Engineering > Vol.3 No.1, February 2013

Application Study on Multi-Vary Analysis ()

Xiaomin Xu

Business School, Shanghai Dianji University, Shanghai, China.

DOI: 10.4236/mme.2013.31005 PDF HTML XML 5,744 Downloads 8,169 Views

Abstract

In this article, we studied the bearings made by one company in Shanghai. Through statistical process controlling the quality characteristic of bearings’ diameters and multi-vary analysis is applied to find the key variation factors which have an influence on the quality characteristic of the bearings, the quality level of the bearings of this company is improved.

Keywords

Statistical Process Control; Multi-Vary Analysis; Process Capability Index

Share and Cite:

X. Xu, "Application Study on Multi-Vary Analysis," Modern Mechanical Engineering, Vol. 3 No. 1, 2013, pp. 39-43. doi: 10.4236/mme.2013.31005.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	H. Zhen, E. S. Qi and S. H. Zhang, “Some Problems in the Application of Control Chart,” Journal of Industrial Engineering and Engineering Management in China, Vol. 12, No. 1, 2000, pp. 4-5.
[2]	Z. H. Yu and S. T. Wu, “Study on Quality Control Method in Small Batch Manufacturing Process,” Chinese Journal of Mechanical Engineering, Vol. 22, No. 2, 2001, pp. 3-4.
[3]	D. C. Montgomery, “Design and Analysis of Experiments,” John Wiley and Sons, New York, 1996, pp. 2526.
[4]	S. W. Well and J. D. Smith, “Making Control Chart Work for You,” Semiconductor International, Vol. 31, No. 4, 1991, pp. 24-25.
[5]	M. Hamada, R. J. Mackay and J. B. Whitney, “Continuous Process Improvement with Observational Studies,” Journal of Quality Technology, Vol. 25, No. 2, 1993, pp. 77-84.