The present disclosure is generally directed to systems and methods for executing various types of maintenance operations upon various types of printers. The maintenance operations can include preemptive actions that are taken upon a printer that is being operated in a certain environment, the preemptive actions based on evaluating operational statistics associated with a set of similar printers operated in a similar environment. The operational statistics, which are automatically accumulated over a period of time for various printers under various operating conditions, can be implemented in various ways, such as in the form of behavioral models and/or predictive models. In some embodiments, the behavioral models and/or predictive models indicate an expected-time-to-failure of a component when a printer is operated in a certain environment. The expected-time-to-failure information can be utilized to execute preemptive printer maintenance operations such as scheduling a replacement of the component ahead of the expected-time-to-failure.