We review the literature on statistical process monitoring methods based on neutrosophic
principles. We question some of the underlying assumptions and raise important questions …

The Shewart S-control chart is commonly used as one of the statistical tools for monitoring
the process variability. The existing design of S-control is based on the assumption that …

This research is an extension of classical statistics distribution theory as the theory did not
deal with the problems having ambiguity, impreciseness, or indeterminacy. An important life …

The control chart based on mean deviation (MD) is customary used as a robust alternative to
the existing Shewhart control charts for observing changes in dispersion parameter of the …

Neutrosophic statistics are used when one is dealing with imprecise and indeterminate data
or parameters. In the present paper we propose a method for performing a neutrosophic …

In this paper, a control chart for neutrosophic exponentially weighted moving average
(NEWMA) is designed using repetitive sampling. The application of the proposed NEWMA …

The log-logistic distribution is more comprehensively applied in the area of survival and
reliability engineering analysis for modeling the lifetime data practices of both human and …

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 green supply chain (GSC) plays a vital role for companies and organizations. Though
there are several risks thread GSC Hence, these risks need to be ranked for companies. So …

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 …