System and method to detect printing devices with high incident rates

Abstract

Method and systems of identifying a printing device having an exceptional incident rate among a plurality of printing devices are disclosed. For each of a plurality of printing devices, a processor receiving a printing device model, a print volume, and an incident count that includes a number of incidents occurring within a particular time frame. The processor determines a generalized linear regression model of the incident counts for each printing device model and also determines a predicted incident count for each printing device model using the generalized regression model. The processor determines a residual value for each printing device between the incident count for the printing device and the predicted incident count for the printing device model associated with the printing device. The processor identifies one or more printing devices having a residual value exceeding a threshold value.