A new variable sampling control scheme at fixed times for monitoring the process dispersion
Version of Record online: 4 MAR 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 25, Issue 8, pages 961–972, December 2009
How to Cite
Shi, L., Zou, C., Wang, Z. and Kapur, K. C. (2009), A new variable sampling control scheme at fixed times for monitoring the process dispersion. Qual. Reliab. Engng. Int., 25: 961–972. doi: 10.1002/qre.1014
- Issue online: 16 NOV 2009
- Version of Record online: 4 MAR 2009
- Natural Sciences Foundation. Grant Number: 07JCYBJC04300
- NNSF. Grant Numbers: 10771107, 10711120448
- statistical process control;
- control charts;
- variable sampling rate charts;
- sequential sampling
The variable sampling rate (VSR) schemes for detecting the shift in process mean have been extensively analyzed; however, adding the VSR feature to the control charts for monitoring process dispersion has not been thoroughly investigated. In this research, a novel VSR control scheme, sequential exponentially weighted moving average inverse normal transformation (EWMA INT) at fixed times chart (called (SEIFT) chart), which integrates the sequential EWMA scheme at fix times with the INT statistic, is proposed to detect both the increase and decrease in process dispersion. Moreover, the sample size at each sampling time is also allowed to vary. The Markov chain method is used to evaluate the performance of this new control chart. Numerical analysis reveals that this SEIFT chart gives significant improvement on detection ability than the fixed sampling rate schemes. Compared with other control schemes, the good properties of the INT statistic makes this SEIFT chart easy to design and convenient to implement. Copyright © 2009 John Wiley & Sons, Ltd.