The Hotelling's  control chart, is the most widely used multivariate procedure for monitoring  two or more related quality characteristics, but it’s power lacks the desired performance in detecting small to moderate shifts. Recently, the variable sampling intervals (VSI) control scheme in which the length of successive sampling intervals is determined upon the preceding values has been proved t...

one of the most important problems of the designs proposed by traditional economic-statistical approaches of control charts is inefficiency in the face of uncertainty. uncertainty in the parameters of economic-statistical models may lead to failure in rapidly detecting changes in processes and impose greater costs to the organization. monitoring the machining process in an automotive industry e...

The multivariate exponentially weighted moving average (MEWMA) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. The economic design of MEWMA control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

The standard max chart gives an out-of-control signal when the chart's statistic M exceeds the upper control limit UCL. The probability of M falling below the UCL is given as [3] 2 2 2) UCL (2 2 2) UCL (2 1 2 1 UCL UCL δ χ δ χ δ δ δ δ H H n n , where UCL > 0,) (⋅ Φ is the cumulative distribution function of a standard normal random variable,) (⋅ H is the cumulative distribution function of a ch...

Prescriptive planning models for affordable and subsidized housing policy design that have a local focus and which are intended to reflect aspects of current and/or best practices require detailed estimates of various structural parameters. These estimates should ideally reflect observations of actual housing units, households and development projects. We examine here three classes of structura...

When an economic-statistical model for a control chart is considered the effect of the choice of the bounds on the average times until a signal on the cost for controlling the process, including the cost with non-conformities produced, and on the design parameters is a natural issue that arises. To have an idea of how the costs and the chart’s parameters are affected by these bounds is an impor...

Social and economic statistics provide the scientific basis for government and enterprise decision making. The efficient use of such statistics is an important problem faced by the Information Technology statistical industry where the complexity of socio-economic statistics affects its efficiency. This paper takes Henan province social economic statistical data as an example, and the statistica...

Duncan first proposed the economic design of x control charts in 1956 to control normal process means and ensure that an economic design control chart actually lowers the cost, compared with a Shewhart control chart. Many authors have studied the control charts from economic viewpoint from then on. An economic design does not consider the statistical properties, such as type I or type II error ...