Saniga, Erwin M. (1989, ASQC and the American Statistical Association) University of Delaware, Newark, DE
Control charts are the primary tools of statistical process control. These charts may be designed by using a simple rule suggested by Shewhart, by a statistical criterion, or by an economic criterion. Each method has its advantages and disadvantages. In this article, I place statistical constraints on economic models to provide designs that meet industry's demand for low-process variability and long-term product quality. This constrained economic model yields a design I call an economic statistical design. The model can be readily adapted to design any Shewhart-type control chart. In this article, I illustrate its use in the joint design of an X-bar chart and an R chart.
Quality,Economic design,Statistical design,Statistical process control (SPC)