Implementing statistically constrained economic EWMA control charts

James C.C. Torng, Jeffery K. Cochran, Douglas C. Montgomery, Frederick P. Lawrence

Research output: Contribution to journalArticle

23 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)257-264
Number of pages8
JournalJournal of Quality Technology
Volume27
Issue number3
StatePublished - Jul 1 1995
Externally publishedYes

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ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

Torng, J. C. C., Cochran, J. K., Montgomery, D. C., & Lawrence, F. P. (1995). Implementing statistically constrained economic EWMA control charts. Journal of Quality Technology, 27(3), 257-264.