Although the percentile-based control charts are very effective with guaranteed in-control and out-of-control run lengths in statistical process control, they still lack algorithmic (especially) software support. The proposed (pbcc) tool fills this gap. This is freely available implements recent work on individual as well joint charts.

Time series control charts are popular methods for statistical process control of autocorrelated processes. In order to implement these methods, however, a time series model of the process is required. Since time series models must always be estimated from process data, model estimation errors are unavoidable. In the presence of modeling errors, time series control charts that are designed unde...

As a common approach in the development of control charts Statistical Process Control (SPC), an industrial process is monitored with one or more quality characteristics using their corresponding distributions. Note though, modelling through relation between some independent and dependent variables alternative which designated as profiles monitoring. This study proposes integration adaptive to c...

The primary aim of this research is to propose a revised triple sampling (TS) X¯ chart, where the derivations new formulae for computing average run length chart correctly are provided. secondary develop TS with estimated process parameters. charts compared double (DS) X¯, two stage adaptive sample size (AS2) and three (AS3) when parameters known using (ARL), number observations signal (ANOS), ...

Cumulative Count of Conforming (CCC) charts are utilized for monitoring the quality characteristics in high-quality processes. Executive cost of control charts is a motivation for researchers to design them with the lowest cost. Usually in most researches, only one objective named cost function is minimized subject to statistical constraints, which is not effective method for economic-statistic...