Construction of control charts for moving range with six sigma under interquartile range

Abstract

A company's ability to satisfy customer demands is crucial in today's fiercely competitive market as attaining sustained growth depends heavily on the caliber of its goods and services. Any industry may succeed in business as long as it offers high-quality goods and services that maximize client pleasure. One statistical method used to assess whether or not the process is under control is a control chart W.A. Shewhart created it in 1931. There are several six-sigma-based control charts that can be utilized when the normalcy assumption is broken. Both normal and exponential distributions can use this chart, which estimates the moving range using the interquartile range (IQR).