This paper proposes an approach which simultaneously considers the properties of cost and quality based on the Burr distribution to determine three parameters (including sample size, sampling interval between successive samples, and the control limits) when an x-bar chart monitors a manufacturing process with Weibull failure characteristic and non-normal data. Also, the cost model of Banerjee a...

The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...

usually, in monitoring schemes the nominal value of the process parameter is assumed known. however, this assumption is violated owing to costly sampling and lack of data particularly in healthcare systems. on the other hand, applying a fixed control limit for the risk-adjusted bernoulli chart causes to a variable in-control average run length performance for patient populations with dissimilar...

Online monitoring of the multivariate coefficient variation (MCV) can be interest in many real situations which dispersion a process is meant to remain constant with regard its position. To this aim, several control charts have been recently proposed literature. In paper, new one-sided adaptive monitor MCV are proposed. The chart applies variable sampling interval (VSI) strategy on an exponenti...

A proper monitoring of stochastic systems is the control charts statistical process and drift in characteristics output may be due to one or several assignable causes. Although many research works have been done on economic design with single cause, T^2 chart under Weibull shock model multiple causes considering multivariate Taguchi loss function has not presented yet. Using concept quality lea...

Economic design of multivariate exponentially weighted moving average (MEWMA) control charts for monitoring the process mean vector involves determining economically the optimum values of the three control parameters: the sample size, the sampling interval between successive samples, and the control limits or the critical region of the chart. In the economic-statistical design, constraints (inc...

The specification of sample size is an important aspect of the planning of every experiment. When the investigator intends to use the techniques of analysis of variance in the study of treatments effects, ho should, in specifying sample size, take into consideration the power of the F tests which will be made. The charts presented in this paper make possible ~ simple and direct estimate of the ...

One of the objectives of the research done in statistical process control is to obtain control charts that show few false alarms but, at the same time, are able to detect quickly the shifts in the distribution of the quality variables employed to monitor a productive process. In this paper the synthetic-T control chart is developed, which consists of the simultaneous use of a CRL chart and a Ho...