Fire/EMS ADAM: Extensions

ADAM Lite
Working in tandem with CAD Analyst Lite, ADAM Lite is designed for departments with 11 or fewer stations. While providing most of the capabilities of the Fire/EMS ADAM software, ADAM Lite does not require the same comprehensive analysis criteria in order to function and, as a result, costs considerably less.

ADAM Hypercube
When incidents within a given area are infrequent, one can assume that the nearest fire apparatus will be always available, in which case, the response times depend upon the characteristics of the travel time—an important assumption made in the Regular ADAM.

In cases, where the incident frequency is very high, apparatus availability becomes a critical issue. Hypercube ADAM (HPC ADAM) is modeled to account for both availability and response time targets. The HPC ADAM uses spatial queuing theory to estimate the probability that each of the servers (in this case, the fire apparatus) is busy as based on incident frequency within a given zone along with the average time it takes the server to “fight the fire”. Availability values also indicate the workload distribution among the different servers. If certain servers have low availabilities and others have high availabilities, then redistributing servers would not only balance the workload but also would improve the response times in the higher workload areas. In addition, using availability values in calculating performance characteristics yields results more closely aligned with real-time, real world response.
HPC ADAM thus provides all the features of Regular ADAM and much more.
 

Extreme ADAM
Extreme ADAM is designed to position a given set of units so that a response criterion—First Engine Dispatch on scene, for example—is maximized. With Extreme ADAM, the criterion’s coverage performance, incident performance, or both can be optimized using a weight factor between 0-100%. For example, a fire chief can maximize incident performance assigning that a weight factor of 100. Units of the same type are then optimized and the selected criterion will involve only units of that type. Both non-hypercube and hypercube ADAM models can be optimized using Extreme ADAM.