Synthetic phase II Shewhart-type attributes control charts when process parameters are estimated
Loading...
Date
Authors
Castagliola, Philippe
Wu, Shu
Khoo, Michael Boon Chong
Chakraborti, Subhabrata
Journal Title
Journal ISSN
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.
Description
Keywords
Phases I and II, Attribute control chart, Synthetic chart, Binomial, Poisson, Unknown parameter, Average run length, Markov chain
Sustainable Development Goals
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.