ANALYSIS OF CLEMENTS' METHOD FOR CAPABILITY INDICES ESTIMATION

Authors

  • Andrzej Czarski Faculty of Metals Engineering and Industrial Computer Sciences, AGH University of Science and Technology, Krakow, Poland

DOI:

https://doi.org/10.7494/mafe.2009.35.1.55

Keywords:

statistical process control (SPC), process capability analysis, non-normal distributions, Clements' method

Abstract

Statistical methods belong to the basic quality tools. Among statistical instruments the statistical process control SPC takes particular place. One of the principal tasks of SPC is process capability analysis i.e. the assessment of process potential as for variability regarding expectations defined by specification limits. This work concerns the comparative analysis of capability indices determination in case of distribution unlike the normal one.

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References

Lock D.: Guide of Quality Management, PWN, Warsaw, 2002 (in Polish)

Joglekar A.M.: Statistical Methods for Six Sigma. In R&D and Manufacturing, John Wiley&Sons, Inc., 2003

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Montgomery DC.: Introduction to Statistical Quality Control, Fourth Edition, John Wiley&Sons, Inc., 2000

Kotz S., Lovelance C.R.: Process Capability Indices in Theory and Practice, Arnold, 1998

Pei-Hsi L., Fei-Long C.: Process Capability Analysis of Non-normal Process Data Using the Burr XII Distribution, Int. J. Adv. Manuf. Technol., 27 (2007) 975-984

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Czarski A.: Capability Process Assessment in Six Sigma Approach, Metallurgy and Foundry Engineering, 33 (2007), 105-111

Czarski A.: Estimation of process capability indices in case of distribution unlike the normal one, Archives of Materials Science and Engineering, vol. 34 (2008) 39-42

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How to Cite

Czarski, A. (2013). ANALYSIS OF CLEMENTS’ METHOD FOR CAPABILITY INDICES ESTIMATION. Metallurgy and Foundry Engineering, 35(1), 55. https://doi.org/10.7494/mafe.2009.35.1.55

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