Statistical methods enable rational and quantitative studies of systems or processes, and
support management decisions. Statistical Process Control (SPC) is a standard …

The aim of the paper is to show the implementation of fuzzy logic in business, administration
and accounting, through the research published in Scopus. The results of the document …

Quality control processes are very important for monitoring applications where the aim is to
identify special causes of variation and improve quality and productivity. However, in many …

The study analyzes the trends in the digital economy, as well as some aspects of an
enterprise's digital transformation in modern conditions, and also determines the criteria and …

This paper focuses on statistical process control as a strategic tool for the improvement of
service at seaports. The aim of this paper is to examine the variable Time of container ships …

Statistical quality control is a useful approach that applies to statistical techniques for
monitoring a production system. These charts are effective to monitor the process under …

The proclivity of today's technology to think like humans may be seen in new develo**
disciplines such as neural computing, fuzzy logic, evolutionary computation, machine …

Quality control charts are one of the most important tools of statistical process control, used
to analyze the behavior of different processes and to predict possible production failures …

This work present a generalised Fermatean fuzzy numbers-based exponentially weighted
moving average (EWMA) control chart. First, we introduce generalised Fermatean fuzzy …

Intuitionistic fuzzy set is very useful in providing a flexible model to elaborate uncertainty and
vagueness involved in decision-making. In this paper, we introduce the generalised …