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Total (Tot)
For time and cost statistics, the total is the sum of time or costs accrued by the resource. For count statistics, the total is the number of transactions that have been counted for the statistics for the resource.
If you apply a filter to the statistic, then only specific things such as swimlanes, resources, or pools are counted. For example, totals that are filtered by swimlane only include processing time that occurred in the swimlane.
Average (Avg or Tavg)
For time and cost statistics, the average (Avg) is the total time or costs divided by the count of resources. Count and utilization statistics are Avg and Tavg.
Avg is the observation-based average. This is the sum of the value of the statistic, when observed, divided by the number of observations taken.
Tavg is the time-weighted average. This is the average after weighting each count or utilization based on the amount of time that the observed count or resource usage occurred.
For example, consider a simulation model where one transaction arrives and does not wait before being processed by a resource for 2 hours. After 1 hour of processing, another transaction arrives and waits for an hour for the resource, before being processed for 2 hours. The total elapsed time is 4 hours. The average (Avg) wait count is 1 observed waiting, divided by the 1 observation, for an average of 1.0. Written as an equation, this is 1/1 = 1. When we consider the time-weighted average (Tavg) wait count, we have 1 waiting for 1 hour, divided by the total time of 4 hours, for an average of 0.25. Written as an equation, this is 1/4 = 0.25.
If you apply a filter, only specific swimlanes, resources, or pools are counted.
Standard Deviation (Stdev or TStdev)
The magnitude of the statistic deviation from the average.
Maximum (Max)
The highest number accumulated for the statistic at any one point in time.
Minimum (Min)
The lowest number accumulated for the statistic at any one point in time.
Final Value (Final)
The value of the statistic at report time (when simulation ends).
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