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Application Study on Multi-Vary Analysis

DOI: 10.4236/mme.2013.31005, PP. 39-43

Keywords: Statistical Process Control, Multi-Vary Analysis, Process Capability Index

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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.

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.

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