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 …

Although 3σ control limits of p control charts are quite common in practical applications, they
are not appropriate when the process mean is wandering with some degree of consistency …

Nowadays, customers are increasingly claiming not only for better quality products at the
lowest possible cost, but also demanding customized solutions to satisfy their specific …

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 …

Purpose–The purpose of this paper is to establish an exponentially weighted moving
average (EWMA) control chart for monitoring the mean level of Gompertz lifetimes with type …

Quality control charts are limited to controlling one characteristic of a production process,
and it needs a large amount of data to determine control limits to control the process …

Purpose The control charts are used in many production areas because they give an idea
about the quality characteristic (s) of a product. The control limits are calculated and the data …

Purpose The control charts are used in many production areas because they give an idea
about the quality characteristic (s) of a product. The control limits are calculated and the data …

Abstract 1 In this research, we consider a fuzzy decision rule of out-of-control states as a
criterion in statistical process control. It is used for deciding if a process has exceeded its …