A memory-type control chart is an important tool of statistical process for monitoring small to moderate shifts in the manufacturing process. Using prior information by Bayesian approach helpful charts. In this paper, a new hybrid exponentially weighted moving average (HEWMA) suggested under theory using ranked set sampling (RSS) schemes posterior and predictive distribution with informative di...

Control charts are the most popular Statistical Process Control (SPC) tools used to monitor process changes. When a control chart indicates an out of control signal it means that the process has changed. However control chart signals do not indicate the real time of process changes, which is essential for identifying and removing assignable causes and ultimately improving the process. Identifyi...

The common consideration on economic model is that there is knowledge about the risk of occurrence of an assignable cause and the various cost parameters that does not always adequately describe what happens in practice. Hence, there is a need for more realistic assumptions to be incorporated. In order to reduce cost penalties for not knowing the true values of some parameters, this paper aims ...

Multivariate control charts can be used effectively to monitor the quality of complex processes with several critical variables simultaneously. However, when the covariance matrix has large dimension in comparison to the number of runs available for parameter estimation, these charts can perform poorly. We incorporate prior information about the covariance matrix in which the number of paramete...

Usually, in monitoring a proportion p < /em>, the binary observations are considered independent; however, in many real cases, there is a continuous stream of autocorrelated binary observations in which a two-state Markov chain model is applied with first-order dependence. On the other hand, the Bernoulli CUSUM control chart which is not robust to autocorrelation can be applied two-sided co...

This paper is concerned witl). "a problem in which a firm is engaged in manufacturing a number of types and sizes of goods at equal intervals, e. g. monthly, and the production is forced to fulfill the customer's demand immediately. In general the products are subject to considerable variations in demands. Let us assume that the amount demanded is uncertain but has a certain probability distrib...

Background and objectives: Risk-adjusted Bernoulli control chart is one of the main tools for monitoring multistage healthcare processes to achieve higher performance and effectiveness in healthcare settings. Using parameter estimates can lead to significantly deteriorate chart performance. However, so far, the effect of estimation error on this chart in which healthcare ...

Control chart patterns (CCPs) can be associated with certain assignable causes, and recognition of such patterns can assist the diagnostic search for those causes. Variations could be one or more instances of trend, cyclic, hugging, sudden shift or some other variations over time. Each pattern has special statistical characteristics which differentiate one pattern from another. In a time series...

The most concerning issues in the healthcare system will always be quality control and improvement as they are significant to health condition of patient. A statistical tool such process (SPC) charts efficient highly effective reducing sources variation within monitoring or controlling process. chart is a methodology designed evaluate change manufacturing industry being implemented gradually se...

when a change occurs in a process, one expects to receive a signal from a control chart as quickly as possible. upon the receipt of signal from the control chart a search for identifying the source of disturbance begins. however, searching for assignable cause around the signal time, due to the fact that the disturbance may have manifested itself into the rocess sometimes back, may not always l...