ASAI decreases when customer interruption hours increase. Frequent short outages and less frequent long outages can produce similar results if their total interruption time is the same across the customer population. The measure therefore captures both dimensions of service reliability, while also reflecting how many customers experience each interruption and for how long.
The two calculation approaches express the same relationship from different perspectives. Engineers can divide supplied customer hours by demanded customer hours, or subtract customer interruption hours from the demand total before normalizing. Using either form helps verify calculations and allows utilities to work with whichever service or outage records are more complete.
Customer-hour accounting weights an interruption by its effect on service demand. An event affecting many customers contributes more interruption hours than an event affecting only a few, and a prolonged outage contributes more than a brief one. This makes ASAI more informative than an outage count alone when evaluating continuity across a service population.
Engineers can calculate ASAI for successive reporting periods and examine whether the proportion of demanded service supplied is improving or declining. Because the index incorporates customer interruption hours, changes can reflect differences in outage frequency, duration, or affected population. These comparisons support network performance evaluation and help determine whether reliability trends are favorable.
The calculation requires total customer hours demanded and either total customer hours with service available or total customer interruption hours. Engineers combine these quantities for the selected service population and reporting period, then normalize the result as a fraction or percentage. Consistent boundaries for customers and time periods make comparisons more meaningful.
Utilities can use ASAI to identify whether service continuity is changing and to assess the effect of network improvements. Results provide evidence for prioritizing maintenance and for judging whether an upgrade has improved the share of demanded customer time supplied. This links a reliability measure to practical decisions about distribution-system performance and investment.