Decision Support Systems

Why Commanders Need Decision Support

Military decision-making is extraordinarily complex. Commanders must consider terrain, weather, enemy capabilities and intentions, friendly force readiness, logistics, air support availability, rules of engagement, and dozens of other factors—often within minutes during time-sensitive targeting. Human cognitive limits prevent considering all variables simultaneously. Decision Support Systems augment commander judgment by rapidly analyzing vast quantities of data, identifying patterns, simulating outcomes, and presenting recommendations. Commanders retain decision authority while leveraging computational analysis impossible for humans.

Course of Action Analysis

Our DSS assists commanders in evaluating alternative courses of action. Planners define multiple options for achieving mission objectives—different maneuver schemes, fire support plans, timelines. The system simulates each course of action using physics-based models of combat, considering terrain effects on movement, weapon effectiveness against different targets, logistical consumption rates, and enemy likely reactions. Simulations run thousands of times with varying assumptions, producing probability distributions of outcomes. Commanders see not just estimated casualties and timeline, but confidence intervals and risk factors for each option.

Predictive Intelligence Analytics

Machine learning models analyze historical intelligence patterns to predict future enemy actions. The system identifies signatures preceding past attacks—communications patterns, movement timings, logistical indicators—then monitors current intelligence for similar signatures. When detected, the system alerts commanders with probabilistic forecasts: '75% probability of indirect fire attack on FOB Bravo within next 8 hours.' Commanders use these predictions to preemptively deploy countermeasures, allocating quick-reaction forces or repositioning assets before attacks occur rather than reacting afterward.

Dynamic Targeting Recommendations

Time-sensitive targeting demands split-second decisions. When intelligence identifies a high-value target, the DSS automatically calculates optimal engagement solutions: which weapon system has line of sight, expected collateral damage, time to engage, probability of kill. The system considers current asset availability, fuel states, munitions inventory, and airspace deconfliction. Recommendations appear seconds after target detection, complete with prosecution timeline and risk assessment. This automation reduces time from target detection to engagement decision from 15+ minutes to under 2 minutes.

Decision Support Capabilities

• Course of action simulation and analysis
• Machine learning predictive intelligence
• Automated time-sensitive targeting recommendations
• Multi-criteria decision analysis with weighting
• Monte Carlo simulation with probability distributions
• Integration with weather, terrain, and logistics data
• Explainable AI with reasoning transparency
• Commander override and feedback incorporation