In the last few years, multivariate quality control has been thoroughly studied. The control of the population means vector is usually obtained by using multivariate control charts developed for this purpose. Nevertheless, when the goal is the efficient control of the covariance matrix, few...

The design of control charts in statistical quality control addresses the optimal selection of the design parameters (such as the sampling frequency and the control limits) and includes sensitivity analysis with respect to system parameters (such as the various process parameters and the...

Control charts are one of the widest used techniques in statistical process control. In Phase I, historical observations are analysed in order to construct a control chart. Because of the existence of multiple outliers that are undetected by control charts such as Hotelling's T2 due to the...

Globalization and freedom of markets, supported by international agreements, lead to a serious competition among companies. The control is one important issue when it comes to quality. This paper presents the evolution of control methods by examining their advantages and limitations and presents...

Purpose: As a result of increasing competition, organizations have realised the importance of using technological advances in bringing about continuous improvement in quality, thereby securing increased customer satisfaction and loyalty as well as sustainable development. This study aims to...

In the last few years, multivariate quality control has been thoroughly studied. The control of the population means vector is usually obtained by using multivariate control charts developed for this purpose. Nevertheless, when the goal is the efficient control of the covariance matrix, few...

In manufacturing industry there is growing interest in measures of process capability under multivariate setting. While there are many statistical packages to assess univariate capability, a current problem with the multivariate measures of capability is the shortage of user friendly software....

General conceptions of quality management in education are discussed. It is shown that to make decisions of quality control more reliable and objective quantitative evaluation approaches should be used. The approach should be consisting of two stages: 1. elaboration of unitary scaling systems...

In manufacturing industry there is growing interest in measures of process capability under multivariate setting. While there are many statistical packages to assess univariate capability, a current problem with the multivariate measures of capability is the shortage of user friendly software....

This paper demonstrates that the class of conditionally linear and Gaussian state-space models offers a general and convenient framework for simultaneously handling nonlinearity, structural change and outliers in time series. Many popular nonlinear time series models, including threshold, smooth...