In this chapter, we provide an up-to-date overview of nonparametric Shewhart-type
univariate control charts. The monitoring schemes incorporated in the present literature …

The existing variable control charts using the classical statistics are designed under the
assumption that no uncertainty, fuzziness or indeterminate observations or parameters. In …

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 …

Existing control charts based on failure-censored (Type-II) reliability tests were designed
using classical statistics. Classical statistics was applied for the monitoring of the process …

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 …

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 …

Distribution-free or nonparametric process control schemes are often preferred over
traditional schemes as these schemes do not require any assumption related to the …

Statistical process control is a technique for controlling processes to distinguish causes of
variation and signal the need for corrective actions. Fuzzy control charts are more sensitive …

Purpose The purpose of this paper is to apply fuzzy spectrum in order to collect the vague
and imprecise data and to employ the fuzzy U control chart in variable sample size using …