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W. Pearn, Kuen-Suan Chen (1994)
A PRACTICAL IMPLEMENTATION OF THE PROCESS CAPABILITY INDEX CpkQuality Engineering, 7
W. Pearn, Kuen-Suan Chen (1999)
Making decisions in assessing process capability index CpkQuality and Reliability Engineering International, 15
Smiley Cheng (1992)
IS THE PROCESS CAPABLE? TABLES AND GRAPHS IN ASSESSING CpmQuality Engineering, 4
M. Harry (1988)
The Nature of Six Sigma Quality
L. Chan, Smiley Cheng, F. Spiring (1988)
A New Measure of Process Capability: CpmJournal of Quality Technology, 20
R. Boyles (1991)
The Taguchi capability indexQuality Engineering, 36
W. Pearn, S. Kotz, N. Johnson (1992)
Distributional and Inferential Properties of Process Capability IndicesJournal of Quality Technology, 24
Y. Chou, D. Owen (1989)
On the distributions of the estimated process capability indicesCommunications in Statistics-theory and Methods, 18
V. Kane (1986)
Process Capability IndicesJournal of Quality Technology, 18
Process capability indices have been used in the manufacturing industry to provide quantitative measures on process potential and performance. The formulae for these indices are easy to understand and straightforward to apply. But, since sample data must be collected in order to calculate these indices, a great degree of uncertainty may be introduced into capability assessments due to sampling errors. Currently, most practitioners simply look at the value of the index calculated from the sample data and then make a conclusion on whether their processes meet the capability requirement. This approach is not reliable since sampling errors are ignored. Procedures for two-sided capability indices, Cp, Cpk, and Cpm have been developed to assist practitioners to determine whether their processes meet the capability requirement based on sample information. In this paper, we first obtain unbiased estimators of CPU and CPL. We then develop a procedure similar to those of Cp, Cpk, and Cpm, for the one-sided capability indices CPU and CPL. Practitioners can use the procedure to test whether their processes meet the capability requirement.
International Journal of Quality & Reliability Management – Emerald Publishing
Published: May 1, 2002
Keywords: Process control; Modelling; Quantitative techniques; Sampling techniques
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