Motivated by the current limitations of the existing algorithms for robustness analysis, in this paper we take a diierent direction which follows the so-called probabilistic approach. That is, we aim to estimate the probability that a control system with uncertain parameters q restricted to a box Q attains a certain level of performance. Since this probability depends on the underlying density ...

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Monitoring the coefficient of variation (CV) is a successful approach to Statistical Process Control when the process mean and standard deviation are not constant. In recent years the CV has been investigated by many researchers as the monitored statistic for several control charts. Viewed under this perspective, this paper presents a new efficient method to monitor the CV by means of Run Rules...

The combination of Shewhart control charts and an exponentially weighted moving average (EWMA) control charts to simultaneously monitor shifts in the mean output of a production process has proven very effective in handling both small and large shifts. To improve the sensitivity of the control chart to detect off-target processes, we propose a combined Shewhart-EWMA (CSEWMA) control chart for m...

Large sample confidence intervals often have the form Dn ± z1−α/2 SE(Dn) whereDn is an estimator of the parameter and P (Z ≤ zα) = α when Z has a normal N(0,1) distribution. Replacing z1−α/2 by tp,1−α/2 can be viewed as multiplying z1−α/2 SE(Dn) by a finite sample correction factor tp,1−α/2/z1−α/2 in order to improve the performance of the interval for small sample sizes. This technique is used...