Process monitoring for multiple count data using generalized linear model-based control charts

Katina R. Skinner, Douglas Montgomery, George Runger

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

A procedure for monitoring multiple discrete counts is proposed. This procedure is based on the likelihood ratio statistic for Poisson counts when input variables are measurable. This statistic is the deviance residual resulting from a generalized linear model. The likelihood ratio statistic is derived and shown to be more effective than using a C chart on the raw counts.

Original languageEnglish (US)
Pages (from-to)1167-1180
Number of pages14
JournalInternational Journal of Production Research
Volume41
Issue number6
DOIs
StatePublished - Apr 15 2003

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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