Economic Statistical Control-Chart Designs With an Application to X-Bar and R Charts


Saniga, Erwin M.   (1989, ASQC and the American Statistical Association)   University of Delaware, Newark, DE

Technometrics    Vol. 31    No. 3
QICID: 9405    August 1989    pp. 313-320
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Article Abstract

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)

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