Systecon North America  

Tactical Augmented Optimizaion (TAO) - AI-enabaled CBM+ tool

TAO together with SIMLOX is a unique tool for scenario simulation that enables analysis of expected performance over time given a certain support solution and operational scenario.

TAO with SIMLOX offers superior insight into tactical and strategic mission capability and the ability to prepare for planned operations.

Tactical Machine Learning

Our tactical machine learning algorithm utilizes an unsupervised approach.  This provides an ability to “learn” how the vehicle is being operated or more precisely, what are the “current” mission requirements and what performance variables are impacting availability today.

Regime Identification

Regime Identification is at the core of the Systecon solution. The algorithm independently identifies and catalogs operational regimes at the individual vehicle level. This approach is in stark contrast to historical deep dives of past performance requirements to predict future failure modes and apply them in aggregate across an entire fleet of vehicles.

Predictive Analyses

As regimes are identified for each vehicle using telemetry and on-board system data (pressure, torque, temp, etc) normal operation across all sensors is identified for each known regime. This provides an unprecedented level of context and insight into future and past component failures and moves this analysis across the ecosystem. This improves all areas of support from future acquisition, engineering, maintenance, and supply chain functions.

Benefits

Supply Chain

• Reduce False Demands
• Limit No Fault Found
• Optimized Sparing
• Automated CS&S Planning
• Provide “Just In Time” Processes

Maintenance

• Reduce Man Hours
• Predictive Maintenance Alerts
• Reduce Unscheduled Maintenance
•  Increased Root Cause Identification

Mission Impacts

• Increased Operational Readiness
• Higher Mission Success Rates
• Reduce Training Timelines
• Optimize O&M Budgets
• Pure Fleeting Capabilities

Engineering Analysis

• Dynamic FRACAS
• Individual Vehicle FRACAS
• Safety of Flight Profiling
• Configuration Management
• Digital Twin Generation

TYPICAL USE

-Assess the capability of a system fleet and its support solution to handle dynamic operational scenarios, peak loads, resource limitations, etc.

-Design support solutions and dimension resources like depots, equipment, staff, transports, etc.

-Identify and eliminate weak links, bottle-necks and reasons for system down-time.

BENEFITS

-Enables higher operational availability, increased sustainability and more efficient support solutions.

-Assesses robustness of support solutions and the risk of not being able to fulfill the operational requirements.

-Makes it possible to set up and evaluate PBL-solutions* based on trustworthy decision support (Verified & Validated by UK MOD and used by customers world wide)

-Can model any dynamic operational scenario, any technical system with multi-level break-down structures and any complex asymmetrical multi-level support organization

-Easy and efficient to use with fast calculations (even large cases optimized in seconds)