Optima Predict enables concise and accurate analysis, modeling and simulation for an endless range of “what if?” emergency scenarios. Our highly accurate strategic planning solution offers powerful tools to guide planning, balance efficiency and effectiveness, and help answer complex cost containment and resource acquisition questions.
With Optima Predict You Will Be Able To...
Optima Predict provides a platform for effective planning and simulation of resource requirements.
Optima Predict enables users to build scenarios that make logistical and business sense.
Optima Predict allows you to save time, effort and resources when changing agency operations.
The map-based user interface for Optima Predict can be customized by adjusting display settings and element filters, which allows dispatchers to quickly assess the big picture. Filters can also be used to drill-down and analyze data, apply complex business rules and generate sophisticated reporting that informs planning and resource assignment.
Basic and advanced scenario management tools are available to help create an interrelated framework for modeling discrete parameters. Input elements such as personnel, vehicle shifts, calls and hotspots can be added to, duplicated or extracted from scenarios to create situational variations.
Fixed and variable operating costs related to personnel, building maintenance and vehicle expenses can be configured and tracked in relation to revenue. The financial impact of processes and procedures can then be modeled by month, call, vehicle or region for comparison and reporting.
Call generation, complex dispatch rules and scene behavior logic can be simulated to enhance understanding of the various factors that affect performance. For example, a calibrated road network based on AVL, historic trip analysis and stochastic trip time multipliers produces highly accurate response time estimates for typical traffic patterns.
Historic call, vehicle location and other data are used to identify availability levels, response tiers and base locations. Plans can then be built using geographic grids or demand hotspots. Subsequently, plans can be edited, used in modeling, monitored for compliance, or used to explore variations and optimize coverage area positioning.