Facilities notes that aging courthouse badge controllers fail often and take many hours to restore. Which pair of metrics best frames that resilience discussion in a BIA or risk context?

Mean time between failures estimates average operating time between failures, while mean time to repair estimates how long restoration takes once a failure occurs. Aging courthouse badge controllers that fail often and take many hours to restore present both a low MTBF problem and a high MTTR problem. Together those metrics frame availability and resilience discussions in BIA or risk contexts: frequent failure plus slow repair drives unacceptable downtime for physical access control. SLE and ARO only, with no availability language, quantify expected monetary loss but do not directly express how long devices run between failures or how long repairs take. Financial risk formulas complement but do not replace MTBF/MTTR when the conversation is about failure frequency and repair duration of badge hardware. Data classification labels alone without timing metrics describe sensitivity of information, not hardware reliability or restore speed. Classification does not measure how often controllers fail or how long facilities needs to fix them. Only the color of the badge printer toner is irrelevant to resilience metrics. Consumable aesthetics do not inform MTBF, MTTR, or availability of door controllers. Exam caveat: MTBF and MTTR are the classic pair for discussing failure frequency and repair duration. Match them when stems emphasize devices that die often and take long to restore. Operational check: Collect failure and repair timestamps for badge controllers, compute or trend MTBF and MTTR, and use those figures to justify replacement, spares, or vendor SLAs before access outages disrupt courthouse operations.