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

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.