Construction of Control Chart Based on Six Sigma Initiatives for Regression

Authors

  • R. Radhakrishnan  Advisor, Maharaja Group of Institutions, Perundurai, Tamilnadu, India
  • P. Balamurugan  Department of Statistics, Government Arts College (Autonomous), Salem, Tamilnadu, India

Keywords:

Control Chart, Process control, Six Sigma, Six Sigma Quality Level.

Abstract

A control chart is a statistical device used for the study and control of repetitive process. W.A. Shewhart [21] of Bell Telephone Laboratories suggested control charts based on the 3 sigma limits. Now the companies in developed and developing countries started applying Six Sigma initiatives in their manufacturing process, which results in lesser number of defects. The companies practicing Six Sigma initiatives are expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola [22]. If the companies practicing Six Sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of the improvement in the quality of the process. In this paper an attempt is made to construct a control chart based on six sigma initiatives for Regression specially designed for the companies applying Six Sigma initiatives in their organization. Suitable Table – 2 is also constructed and presented for the engineers to take quick decisions.

References

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  21. Shewhart, W.A., 1931, "Economic Control of Quality of Manufactured Product", New York: Van Nostrand.
  22. Motorola: http://www.motorola.com

International Journal of Scientific Research in Science and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

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How to Cite

[1]
R. Radhakrishnan, P. Balamurugan, " Construction of Control Chart Based on Six Sigma Initiatives for Regression, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.1142-1147, January-February-2018.