Synthetic phase II Shewhart-type attributes control charts when process parameters are estimated

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Authors

Castagliola, Philippe
Wu, Shu
Khoo, Michael Boon Chong
Chakraborti, Subhabrata

Journal Title

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Volume Title

Publisher

Wiley

Abstract

The performance of attributes control charts (such as c and np charts) is usually evaluated under the assumption of known process parameters (i.e., the nominal proportion of nonconforming units or the nominal number of nonconformities). However, in practice, these process parameters are rarely known and have to be estimated from an in-control phase I data set. In this paper, we derive the run length properties of the phase II synthetic c and np charts with estimated parameters, and we investigate the numbermof phase I samples that would be necessary for these charts in order to obtain similar in-control average run lengths as in the known parameters case. We also propose new specific chart parameters that allow these charts to have approximately the same in-control average run lengths as the ones obtained in the known parameter case.

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Keywords

Phases I and II, Attribute control chart, Synthetic chart, Binomial, Poisson, Unknown parameter, Average run length, Markov chain

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Citation

Castagliola, P, Wu, S, Khoo, MBC & Chakraborti, S 2014, 'Synthetic phase II Shewhart-type attributes control charts when process parameters are estimated', Quality and Reliability Engineering International, vol. 30, no. 3, pp. 315-335.