The control chart is a very popular tool of statistical process control. It is used to determine
the existence of special cause variation to remove it so that the process may be brought in …

Many extensions and modifications have been made to standard process monitoring
methods such as the exponentially weighted moving average (EWMA) chart and the …

Different control charts are developed for monitoring various types of quality characteristics
in the area of Statistical Process Monitoring (SPM). Moreover, new techniques are proposed …

The aim of this paper is to present the basic principles and recent advances in the area of
statistical process control charting with the aid of runs rules. More specifically, we review the …

Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control
charts are commonly used for monitoring the process mean. In this paper, a new hybrid …

Control charts are extensively used in processes and are very helpful in determining the
special cause variations so that a timely action may be taken to eliminate them. One of the …

The control chart is an important statistical technique that is used to monitor the quality of a
process. Shewhart control charts are used to detect larger disturbances in the process …

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 …

Enhancing the sensitivity of control charts for detecting small process shift is desirable and
may be done in different ways. In this paper, we propose the double exponentially weighted …

Although enhancing the detection ability of control charts with run-rules scheme is very
common, this approach received little attention in profile monitoring in which the quality of a …