ADAM (Apparatus Deployment Analysis Module) is a “What if?” predictive modeling tool that uses historical CAD data, GIS map data and a rigorous projection algorithm to project the impact of deployment changes on response times and availability.
The right information at the right time is critical to effective decision making. ADAM’s powerful deployment analysis capabilities deliver the predictive modeling that departments need for all decision-making, reporting and planning activities.
Understanding the impact that changes to deployment will have on response performance provides lasting benefits to departments and their communities. ADAM provides advanced planning and decision-support capabilities for achieving unparalleled operational efficiency.
• Analyzes the effect of deployment changes
• Projects the impact on response times due to:
– Adding units or stations
– Station closures
– Staffing reductions
– Apparatus relocation
• Visualizes deployment plans with color-coded maps
• Compares alternate deployment scenarios
• Includes department policies for actionable, realistic planning
• Calculates effects on unit availability when adding or removing units from deployment
• Uses dispatch assignment schemes on different call types to determine unit availability
• Runs within ArcMap using Esri add-ins
• Layers stored in geodatabase and shapefile formats
• Utilizes Esri’s Network Analyst extension for faster analysis and improved accuracy
• The CAD Analyst functionality in ADAM evaluates response performance based on:
– Incident type
– Station first-due areas
– Shift, time of day, day of the month, or month of the year
– Risk level
• Reviews current workloads against historical CAD data
• Reports findings with intuitive graphics
Extending the capabilities of ADAM, Optimizer allows the user to prescriptively generate optimal solutions to a wide range of deployment questions. Valuable for both long-term planning as well as addressing day-to-day operational challenges, the iterative process of Optimizer saves the user time by evaluating countless alternative scenarios, providing the most effective deployment plan in minutes.
Scenario Comparison allows the user to clearly visualize the positive and negative impacts of proposed deployment changes. Scenario Comparison calculates both local and global changes in performance and geographically displays those areas where a change in performance is projected.
“Most recently, ADAM served our department very well in identifying a location for the placement of our new fire station. We plan to utilize it in the near future with defining and building response standards and also understanding where we should deploy our next ambulance that we put in service.”
FIRE CHIEF DAVE HANNEMAN
IDAHO FALLS FIRE DEPARTMENT
“I use ADAM to measure our performance against all of our benchmarks to see how we’re really performing – to identify where we’re strong and we may be falling short – and to model deployment changes and strategic changes in the way we do business.”
DIVISION CHIEF GORDON ROUTLEY
MONTRÉAL FIRE DEPARTMENT
Service de sécurité incendie de Montréal
What happened to CAD Analyst?
Originally, CAD Analyst and ADAM ran as independent applications, though they were always offered together. In the current Esri-based version, the two are combined into one application: ADAM. CAD Analyst still exists as the historical “What is?” side of ADAM and includes all of the previous functionality. It remains key to our process in calibrating ADAM to provide real-world accurate projections of response times.
How can ADAM help our department save money?
The cost of maintaining an apparatus in a station, twenty-four hours, seven days a week can cost upwards of one and a half million dollars a year. Placing that station or apparatus at an inefficient location involves needless money being spent. ADAM can help your department evaluate the most optimal location for your new station and enable you to get the maximum benefit on maintaining that station. In contrast to hiring expensive consultants, ADAM can also help you save money by tapping into the extensive years of experience and knowledge that already exists in your department, helping you identify the most effective course of action.
We have been told that our fire departments’ budget has been reduced and that we may have to explore the closing of stations. How can ADAM help us address this issue?
ADAM can help identify the areas of strength and weakness in your area of coverage. By utilizing ADAM, department leaders can perform “What if?” analysis and determine the impact of station closures. In many cases, ADAM has shown clients exact areas of vulnerability due to these station closures and provided a compelling argument to keep a department’s budget intact.
Have your applications made a significant impact in areas which are experiencing high growth?
Absolutely. Some of our current clients experiencing rapid growth are Clark County, City of Las Vegas and North Las Vegas, Orange County, FL (including Orlando), as well as Sacramento, Denver, Howard County, and a few others. In these fast growing areas, Deccan applications help identify the best timing and location of new stations, as well as the need for special types of apparatus, such as advanced life support units and paramedic engines. In addition, it takes into account the additional work load that is derived with high growth as well as growth projections of how the city is expected to expand prior new stations being added.
Will ADAM work with my CAD system?
ADAM does not require a live connection to a Computer-Aided Dispatch (CAD) system. The application is built using historical data extracted from these systems, but a live interface is not required. Deccan has experience working with data in the structures used by all major CAD vendors and, in fact, can work with any tabular data, provided the necessary items are present (including, but not limited to timestamps, location data, unit details).
How many years’ worth of CAD data is needed to build ADAM?
Any number of years of historical data can be included for analysis in ADAM. However, when calibrating the predictive model, we typically only look at the most recent data to ensure that current incident trends are portrayed accurately in the application. In larger agencies, one year of data is usually sufficient, though in a smaller local agency, as many as two years might be used to ensure an acceptable level of reference points.
Can we give you data from an RMS instead of CAD?
Deccan’s applications can be built using historical data from multiple sources. Though the use of CAD data is most common, we can also utilize data from RMS (records management systems). In some cases, we have utilized both in order to include all necessary data points. It is worth noting that the application focuses on response performance to incidents as dispatched, rather than what they ended up being. For example, a unit might respond without lights and siren to a low priority call, but it may end up being classified as a high priority incident in the end. The opposite could also be true. Both would not be accurate reflections of the agency’s ability to respond to various call types. As such, the applications generally do not rely on “incident found” data classifications.