Quality control plays an important role in increasing the product quality. Fuzzy control charts
are more sensitive than Shewhart control chart. Hence, the correct use of fuzzy control chart …

To assure the quality of product and services, organisations need to employ quality control
tools. In this context, as precise data are not always available, fuzzy sets theory can …

The two most significant sources of uncertainty are randomness and incomplete information.
In real systems, we wish to monitor processes in the presence of these two kinds of …

In these last few decades, control charts have received a growing interest because of the
important role they play by improving the quality of the products and services in industrial …

In this paper, a control chart for variance using the repetitive sampling under the
neutrosophic statistics is proposed. The proposed control chart can be applied for …

The existing Shewhart X-bar control charts using the exponentially weighted moving
average statistic are designed under the assumption that all observations are precise …

The existing moving average control charts can be only applied when all observations in the
data are determined, precise, and certain. But, in practice, the data from the weather …

Statistical process control ($ SPC $), an internationally recognized technique for improving
product quality and productivity, has been widely employed in various industries. $ SPC …

We will introduce a neutrosophic exponentially weighted moving average (NEWMA) statistic
for the attribute data. We will use the proposed NEWMA to design an attribute control chart …

The purpose of this study is to present a new approach for fuzzy control charts. The
procedure is based on the fundamentals of Shewhart control charts and the fuzzy theory …