Implementing Statistically Constrained Economic EWMA Control Charts

Article

Torng, James C.-C.; Lawrence, Frederick P.   (1995, ASQC)   National Yunlin Institute of Technology, Taiwan; Arizona State University, Tempe AZ

Journal of Quality Technology    Vol. 27    No. 3
QICID: 11415    July 1995    pp. 257-264
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Article Abstract

A computer program is presented for the statistically constrained economic design of exponentially weighted moving average control charts for controlling process means. The program finds the optimal sample size, control limit width, sampling interval, and weighting factor by minimizing a total cost function proposed by Lorenzen and Vance subject to additional statistical constraints on average run length (ARL) or average time-to-signal (ATS). The ARL values are determined by solving systems of linear algebraic equations using Gaussian quadrature, following the integration-equation approach outlined by Crowder.

Keywords

Control charts


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